def ext2int(ppc, val_or_field=None, ordering=None, dim=0):
"""Converts external to internal indexing.
This function has two forms, the old form that operates on
and returns individual matrices and the new form that operates
on and returns an entire PYPOWER case dict.
1. C{ppc = ext2int(ppc)}
If the input is a single PYPOWER case dict, then all isolated
buses, off-line generators and branches are removed along with any
generators, branches or areas connected to isolated buses. Then the
buses are renumbered consecutively, beginning at 0, and the
generators are sorted by increasing bus number. Any 'ext2int'
callback routines registered in the case are also invoked
automatically. All of the related
indexing information and the original data matrices are stored under
the 'order' key of the dict to be used by C{int2ext} to perform
the reverse conversions. If the case is already using internal
numbering it is returned unchanged.
Example::
ppc = ext2int(ppc)
@see: L{int2ext}, L{e2i_field}, L{e2i_data}
@author: Ray Zimmerman (PSERC Cornell)
@author: Richard Lincoln
"""
ppc = deepcopy(ppc)
if val_or_field is None: # nargin == 1
first = 'order' not in ppc
if first or ppc["order"]["state"] == 'e':
## initialize order
if first:
o = {
'ext': {
'bus': None,
'branch': None,
'gen': None
},
'bus': { 'e2i': None,
'i2e': None,
'status': {} },
'gen': { 'e2i': None,
'i2e': None,
'status': {} },
'branch': { 'status': {} }
}
else:
o = ppc["order"]
## sizes
nb = ppc["bus"].shape[0]
ng = ppc["gen"].shape[0]
ng0 = ng
if 'A' in ppc:
dc = True if ppc["A"].shape[1] < (2 * nb + 2 * ng) else False
elif 'N' in ppc:
dc = True if ppc["N"].shape[1] < (2 * nb + 2 * ng) else False
else:
dc = False
## save data matrices with external ordering
if 'ext' not in o: o['ext'] = {}
o["ext"]["bus"] = ppc["bus"].copy()
o["ext"]["branch"] = ppc["branch"].copy()
o["ext"]["gen"] = ppc["gen"].copy()
if 'areas' in ppc:
if len(ppc["areas"]) == 0: ## if areas field is empty
del ppc['areas'] ## delete it (so it's ignored)
else: ## otherwise
o["ext"]["areas"] = ppc["areas"].copy() ## save it
## check that all buses have a valid BUS_TYPE
bt = ppc["bus"][:, BUS_TYPE]
err = find(~((bt == PQ) | (bt == PV) | (bt == REF) | (bt == NONE)))
if len(err) > 0:
sys.stderr.write('ext2int: bus %d has an invalid BUS_TYPE\n' % err)
## determine which buses, branches, gens are connected and
## in-service
n2i = sparse((range(nb), (ppc["bus"][:, BUS_I], zeros(nb))),
shape=(max(ppc["bus"][:, BUS_I]) + 1, 1))
n2i = array( n2i.todense().flatten() )[0, :] # as 1D array
bs = (bt != NONE) ## bus status
o["bus"]["status"]["on"] = find( bs ) ## connected
o["bus"]["status"]["off"] = find( ~bs ) ## isolated
gs = ( (ppc["gen"][:, GEN_STATUS] > 0) & ## gen status
bs[ n2i[ppc["gen"][:, GEN_BUS].astype(int)] ] )
o["gen"]["status"]["on"] = find( gs ) ## on and connected
o["gen"]["status"]["off"] = find( ~gs ) ## off or isolated
brs = ( ppc["branch"][:, BR_STATUS].astype(int) & ## branch status
bs[n2i[ppc["branch"][:, F_BUS].astype(int)]] &
bs[n2i[ppc["branch"][:, T_BUS].astype(int)]] ).astype(bool)
o["branch"]["status"]["on"] = find( brs ) ## on and conn
o["branch"]["status"]["off"] = find( ~brs )
if 'areas' in ppc:
ar = bs[ n2i[ppc["areas"][:, PRICE_REF_BUS].astype(int)] ]
o["areas"] = {"status": {}}
o["areas"]["status"]["on"] = find( ar )
o["areas"]["status"]["off"] = find( ~ar )
## delete stuff that is "out"
if len(o["bus"]["status"]["off"]) > 0:
# ppc["bus"][o["bus"]["status"]["off"], :] = array([])
ppc["bus"] = ppc["bus"][o["bus"]["status"]["on"], :]
if len(o["branch"]["status"]["off"]) > 0:
# ppc["branch"][o["branch"]["status"]["off"], :] = array([])
ppc["branch"] = ppc["branch"][o["branch"]["status"]["on"], :]
if len(o["gen"]["status"]["off"]) > 0:
# ppc["gen"][o["gen"]["status"]["off"], :] = array([])
ppc["gen"] = ppc["gen"][o["gen"]["status"]["on"], :]
if 'areas' in ppc and (len(o["areas"]["status"]["off"]) > 0):
# ppc["areas"][o["areas"]["status"]["off"], :] = array([])
ppc["areas"] = ppc["areas"][o["areas"]["status"]["on"], :]
## update size
nb = ppc["bus"].shape[0]
## apply consecutive bus numbering
o["bus"]["i2e"] = ppc["bus"][:, BUS_I].copy()
o["bus"]["e2i"] = zeros(int(max(o["bus"]["i2e"])) + 1)
o["bus"]["e2i"][o["bus"]["i2e"].astype(int)] = arange(nb)
ppc["bus"][:, BUS_I] = \
o["bus"]["e2i"][ ppc["bus"][:, BUS_I].astype(int) ].copy()
ppc["gen"][:, GEN_BUS] = \
o["bus"]["e2i"][ ppc["gen"][:, GEN_BUS].astype(int) ].copy()
ppc["branch"][:, F_BUS] = \
o["bus"]["e2i"][ ppc["branch"][:, F_BUS].astype(int) ].copy()
ppc["branch"][:, T_BUS] = \
o["bus"]["e2i"][ ppc["branch"][:, T_BUS].astype(int) ].copy()
if 'areas' in ppc:
ppc["areas"][:, PRICE_REF_BUS] = \
o["bus"]["e2i"][ ppc["areas"][:,
PRICE_REF_BUS].astype(int) ].copy()
## reorder gens in order of increasing bus number
o["gen"]["e2i"] = argsort(ppc["gen"][:, GEN_BUS])
o["gen"]["i2e"] = argsort(o["gen"]["e2i"])
ppc["gen"] = ppc["gen"][o["gen"]["e2i"].astype(int), :]
if 'int' in o:
del o['int']
o["state"] = 'i'
ppc["order"] = o
## update gencost, A and N
if 'gencost' in ppc:
ordering = ['gen'] ## Pg cost only
if ppc["gencost"].shape[0] == (2 * ng0):
ordering.append('gen') ## include Qg cost
ppc = e2i_field(ppc, 'gencost', ordering)
if 'A' in ppc or 'N' in ppc:
if dc:
ordering = ['bus', 'gen']
else:
ordering = ['bus', 'bus', 'gen', 'gen']
if 'A' in ppc:
ppc = e2i_field(ppc, 'A', ordering, 1)
if 'N' in ppc:
ppc = e2i_field(ppc, 'N', ordering, 1)
## execute userfcn callbacks for 'ext2int' stage
if 'userfcn' in ppc:
ppc = run_userfcn(ppc['userfcn'], 'ext2int', ppc)
else: ## convert extra data
if isinstance(val_or_field, str) or isinstance(val_or_field, list):
## field
warn('Calls of the form ppc = ext2int(ppc, '
'\'field_name\', ...) have been deprecated. Please '
'replace ext2int with e2i_field.', DeprecationWarning)
gen, branch = val_or_field, ordering
ppc = e2i_field(ppc, gen, branch, dim)
else:
## value
warn('Calls of the form val = ext2int(ppc, val, ...) have been '
'deprecated. Please replace ext2int with e2i_data.',
DeprecationWarning)
gen, branch = val_or_field, ordering
ppc = e2i_data(ppc, gen, branch, dim)
return ppc
def savecase(fname, ppc, comment=None, version='2'):
"""Saves a PYPOWER case file, given a filename and the data.
Writes a PYPOWER case file, given a filename and data dict. The C{fname}
parameter is the name of the file to be created or overwritten. Returns
the filename, with extension added if necessary. The optional C{comment}
argument is either string (single line comment) or a list of strings which
are inserted as comments. When using a PYPOWER case dict, if the
optional C{version} argument is '1' it will modify the data matrices to
version 1 format before saving.
@author: Carlos E. Murillo-Sanchez (PSERC Cornell & Universidad
Autonoma de Manizales)
@author: Ray Zimmerman (PSERC Cornell)
@author: Richard Lincoln
"""
ppc_ver = ppc["version"] = version
baseMVA, bus, gen, branch = \
ppc["baseMVA"], ppc["bus"], ppc["gen"], ppc["branch"]
areas = ppc["areas"] if "areas" in ppc else None
gencost = ppc["gencost"] if "gencost" in ppc else None
## modifications for version 1 format
if ppc_ver == "1":
raise NotImplementedError
# ## remove extra columns of gen
# if gen.shape[1] >= MU_QMIN:
# gen = c_[gen[:, :PMIN], gen[:, MU_PMAX:MU_QMIN]]
# else:
# gen = gen[:, :PMIN]
# ## use the version 1 values for column names
# shift = MU_PMAX - PMIN - 1
# tmp = array([MU_PMAX, MU_PMIN, MU_QMAX, MU_QMIN]) - shift
# MU_PMAX, MU_PMIN, MU_QMAX, MU_QMIN = tmp
#
# ## remove extra columns of branch
# if branch.shape[1] >= MU_ST:
# branch = c_[branch[:, :BR_STATUS], branch[:, PF:MU_ST]]
# elif branch.shape[1] >= QT:
# branch = c_[branch[:, :BR_STATUS], branch[:, PF:QT]]
# else:
# branch = branch[:, :BR_STATUS]
# ## use the version 1 values for column names
# shift = PF - BR_STATUS - 1
# tmp = array([PF, QF, PT, QT, MU_SF, MU_ST]) - shift
# PF, QF, PT, QT, MU_SF, MU_ST = tmp
## verify valid filename
l = len(fname)
rootname = ""
if l > 2:
if fname[-3:] == ".py":
rootname = fname[:-3]
extension = ".py"
elif l > 4:
if fname[-4:] == ".mat":
rootname = fname[:-4]
extension = ".mat"
if not rootname:
rootname = fname
extension = ".py"
fname = rootname + extension
indent = ' ' # four spaces
indent2 = indent + indent
## open and write the file
if extension == ".mat": ## MAT-file
savemat(fname, ppc)
else: ## Python file
try:
fd = open(fname, "wb")
except Exception as detail:
stderr.write("savecase: %s.\n" % detail)
return fname
## function header, etc.
if ppc_ver == "1":
raise NotImplementedError
# if (areas != None) and (gencost != None) and (len(gencost) > 0):
# fd.write('function [baseMVA, bus, gen, branch, areas, gencost] = %s\n' % rootname)
# else:
# fd.write('function [baseMVA, bus, gen, branch] = %s\n' % rootname)
# prefix = ''
else:
fd.write('def %s():\n' % basename(rootname))
prefix = 'ppc'
if comment:
if isinstance(comment, basestring):
fd.write('#%s\n' % comment)
elif isinstance(comment, list):
for c in comment:
fd.write('#%s\n' % c)
fd.write('\n%s## PYPOWER Case Format : Version %s\n' % (indent, ppc_ver))
if ppc_ver != "1":
fd.write("%sppc = {'version': '%s'}\n" % (indent, ppc_ver))
fd.write('\n%s##----- Power Flow Data -----##\n' % indent)
fd.write('%s## system MVA base\n' % indent)
fd.write("%s%s['baseMVA'] = %.9g\n" % (indent, prefix, baseMVA))
## bus data
ncols = bus.shape[1]
fd.write('\n%s## bus data\n' % indent)
fd.write('%s# bus_i type Pd Qd Gs Bs area Vm Va baseKV zone Vmax Vmin' % indent)
if ncols >= MU_VMIN + 1: ## opf SOLVED, save with lambda's & mu's
fd.write('lam_P lam_Q mu_Vmax mu_Vmin')
fd.write("\n%s%s['bus'] = array([\n" % (indent, prefix))
if ncols < MU_VMIN + 1: ## opf NOT SOLVED, save without lambda's & mu's
for i in range(bus.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.9g, %d, %.9g, %.9g],\n' % ((indent2,) + tuple(bus[i, :VMIN + 1])))
else: ## opf SOLVED, save with lambda's & mu's
for i in range(bus.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(bus[:, :MU_VMIN + 1])))
fd.write('%s])\n' % indent)
## generator data
ncols = gen.shape[1]
fd.write('\n%s## generator data\n' % indent)
fd.write('%s# bus Pg Qg Qmax Qmin Vg mBase status Pmax Pmin' % indent)
if ppc_ver != "1":
fd.write(' Pc1 Pc2 Qc1min Qc1max Qc2min Qc2max ramp_agc ramp_10 ramp_30 ramp_q apf')
if ncols >= MU_QMIN + 1: # opf SOLVED, save with mu's
fd.write(' mu_Pmax mu_Pmin mu_Qmax mu_Qmin')
fd.write("\n%s%s['gen'] = array([\n" % (indent, prefix))
if ncols < MU_QMIN + 1: ## opf NOT SOLVED, save without mu's
if ppc_ver == "1":
for i in range(gen.shape[0]):
fd.write('%s[%d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g],\n' % ((indent2,) + tuple(gen[i, :PMIN + 1])))
else:
for i in range(gen.shape[0]):
fd.write('%s[%d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g],\n' % ((indent2,) + tuple(gen[i, :APF + 1])))
else:
if ppc_ver == "1":
for i in range(gen.shape[0]):
fd.write('%s[%d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(gen[i, :MU_QMIN + 1])))
else:
for i in range(gen.shape[0]):
fd.write('%s[%d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(gen[i, :MU_QMIN + 1])))
fd.write('%s])\n' % indent)
## branch data
ncols = branch.shape[1]
fd.write('\n%s## branch data\n' % indent)
fd.write('%s# fbus tbus r x b rateA rateB rateC ratio angle status' % indent)
if ppc_ver != "1":
fd.write(' angmin angmax')
if ncols >= QT + 1: ## power flow SOLVED, save with line flows
fd.write(' Pf Qf Pt Qt')
if ncols >= MU_ST + 1: ## opf SOLVED, save with mu's
fd.write(' mu_Sf mu_St')
if ppc_ver != "1":
fd.write(' mu_angmin mu_angmax')
fd.write('\n%s%s[\'branch\'] = array([\n' % (indent, prefix))
if ncols < QT + 1: ## power flow NOT SOLVED, save without line flows or mu's
if ppc_ver == "1":
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d],\n' % ((indent2,) + tuple(branch[i, :BR_STATUS + 1])))
else:
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g],\n' % ((indent2,) + tuple(branch[i, :ANGMAX + 1])))
elif ncols < MU_ST + 1: ## power flow SOLVED, save with line flows but without mu's
if ppc_ver == "1":
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(branch[i, :QT + 1])))
else:
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(branch[i, :QT + 1])))
else: ## opf SOLVED, save with lineflows & mu's
if ppc_ver == "1":
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.4f, %.4f, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(branch[i, :MU_ST + 1])))
else:
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(branch[i, :MU_ANGMAX + 1])))
fd.write('%s])\n' % indent)
## OPF data
if (areas != None) and (len(areas) > 0) or (gencost != None) and (len(gencost) > 0):
fd.write('\n%s##----- OPF Data -----##' % indent)
if (areas != None) and (len(areas) > 0):
## area data
fd.write('\n%s## area data\n' % indent)
fd.write('%s# area refbus\n' % indent)
fd.write("%s%s['areas'] = array([\n" % (indent, prefix))
if len(areas) > 0:
for i in range(areas.shape[0]):
fd.write('%s[%d, %d],\n' % ((indent2,) + tuple(areas[i, :PRICE_REF_BUS + 1])))
fd.write('%s])\n' % indent)
if gencost != None and len(gencost) > 0:
## generator cost data
fd.write('\n%s## generator cost data\n' % indent)
fd.write('%s# 1 startup shutdown n x1 y1 ... xn yn\n' % indent)
fd.write('%s# 2 startup shutdown n c(n-1) ... c0\n' % indent)
fd.write('%s%s[\'gencost\'] = array([\n' % (indent, prefix))
if len(gencost > 0):
if any(gencost[:, MODEL] == PW_LINEAR):
n1 = 2 * max(gencost[gencost[:, MODEL] == PW_LINEAR, NCOST])
else:
n1 = 0
if any(gencost[:, MODEL] == POLYNOMIAL):
n2 = max(gencost[gencost[:, MODEL] == POLYNOMIAL, NCOST])
else:
n2 = 0
n = int( max([n1, n2]) )
if gencost.shape[1] < n + 4:
stderr.write('savecase: gencost data claims it has more columns than it does\n')
template = '%s[%d, %.9g, %.9g, %d'
for i in range(n):
template = template + ', %.9g'
template = template + '],\n'
for i in range(gencost.shape[0]):
fd.write(template % ((indent2,) + tuple(gencost[i])))
fd.write('%s])\n' % indent)
## generalized OPF user data
if ("A" in ppc) and (len(ppc["A"]) > 0) or ("N" in ppc) and (len(ppc["N"]) > 0):
fd.write('\n%s##----- Generalized OPF User Data -----##' % indent)
## user constraints
if ("A" in ppc) and (len(ppc["A"]) > 0):
## A
fd.write('\n%s## user constraints\n' % indent)
print_sparse(fd, prefix + "['A']", ppc["A"])
if ("l" in ppc) and (len(ppc["l"]) > 0) and ("u" in ppc) and (len(ppc["u"]) > 0):
fd.write('%slu = array([\n' % indent)
for i in range(len(l)):
fd.write('%s[%.9g, %.9g],\n' % (indent2, ppc["l"][i], ppc["u"][i]))
fd.write('%s])\n' % indent)
fd.write("%s%s['l'] = lu[:, 0]\n" % (indent, prefix))
fd.write("%s%s['u'] = lu[:, 1]\n\n" % (indent, prefix))
elif ("l" in ppc) and (len(ppc["l"]) > 0):
fd.write("%s%s['l'] = array([\n" % (indent, prefix))
for i in range(len(l)):
fd.write('%s[%.9g],\n' % (indent2, ppc["l"][i]))
fd.write('%s])\n\n' % indent)
elif ("u" in ppc) and (len(ppc["u"]) > 0):
fd.write("%s%s['u'] = array([\n" % (indent, prefix))
for i in range(len(l)):
fd.write('%s[%.9g],\n' % (indent2, ppc["u"][i]))
fd.write('%s])\n\n' % indent)
## user costs
if ("N" in ppc) and (len(ppc["N"]) > 0):
fd.write('\n%s## user costs\n' % indent)
print_sparse(fd, prefix + "['N']", ppc["N"])
if ("H" in ppc) and (len(ppc["H"]) > 0):
print_sparse(fd, prefix + "['H']", ppc["H"])
if ("fparm" in ppc) and (len(ppc["fparm"]) > 0):
fd.write("%sCw_fparm = array([\n" % indent)
for i in range(ppc["Cw"]):
fd.write('%s[%.9g, %d, %.9g, %.9g, %.9g],\n' % ((indent2,) + tuple(ppc["Cw"][i]) + tuple(ppc["fparm"][i, :])))
fd.write('%s])\n' % indent)
fd.write('%s%s[\'Cw\'] = Cw_fparm[:, 0]\n' % (indent, prefix))
fd.write("%s%s['fparm'] = Cw_fparm[:, 1:5]\n" % (indent, prefix))
else:
fd.write("%s%s['Cw'] = array([\n" % (indent, prefix))
for i in range(len(ppc["Cw"])):
fd.write('%s[%.9g],\n' % (indent2, ppc["Cw"][i]))
fd.write('%s])\n' % indent)
## user vars
if ('z0' in ppc) or ('zl' in ppc) or ('zu' in ppc):
fd.write('\n%s## user vars\n' % indent)
if ('z0' in ppc) and (len(ppc['z0']) > 0):
fd.write('%s%s["z0"] = array([\n' % (indent, prefix))
for i in range(len(ppc['z0'])):
fd.write('%s[%.9g],\n' % (indent2, ppc["z0"]))
fd.write('%s])\n' % indent)
if ('zl' in ppc) and (len(ppc['zl']) > 0):
fd.write('%s%s["zl"] = array([\n' % (indent2, prefix))
for i in range(len(ppc['zl'])):
fd.write('%s[%.9g],\n' % (indent2, ppc["zl"]))
fd.write('%s])\n' % indent)
if ('zu' in ppc) and (len(ppc['zu']) > 0):
fd.write('%s%s["zu"] = array([\n' % (indent, prefix))
for i in range(len(ppc['zu'])):
fd.write('%s[%.9g],\n' % (indent2, ppc["zu"]))
fd.write('%s])\n' % indent)
## execute userfcn callbacks for 'savecase' stage
if 'userfcn' in ppc:
run_userfcn(ppc["userfcn"], 'savecase', ppc, fd, prefix)
fd.write('\n%sreturn ppc\n' % indent)
## close file
fd.close()
return fname
def opf_setup(ppc, ppopt):
"""Constructs an OPF model object from a PYPOWER case dict.
Assumes that ppc is a PYPOWER case dict with internal indexing,
all equipment in-service, etc.
@see: L{opf}, L{ext2int}, L{opf_execute}
@author: Ray Zimmerman (PSERC Cornell)
@author: Carlos E. Murillo-Sanchez (PSERC Cornell & Universidad
Autonoma de Manizales)
@author: Richard Lincoln
Modified by University of Kassel (Friederike Meier): Bugfix in line 110
"""
## options
dc = ppopt['PF_DC'] ## 1 = DC OPF, 0 = AC OPF
alg = ppopt['OPF_ALG']
verbose = ppopt['VERBOSE']
## data dimensions
nb = ppc['bus'].shape[0] ## number of buses
nl = ppc['branch'].shape[0] ## number of branches
ng = ppc['gen'].shape[0] ## number of dispatchable injections
if 'A' in ppc:
nusr = ppc['A'].shape[0] ## number of linear user constraints
else:
nusr = 0
if 'N' in ppc:
nw = ppc['N'].shape[0] ## number of general cost vars, w
else:
nw = 0
if dc:
## ignore reactive costs for DC
ppc['gencost'], _ = pqcost(ppc['gencost'], ng)
## reduce A and/or N from AC dimensions to DC dimensions, if needed
if nusr or nw: # pragma: no cover
acc = r_[nb + arange(nb), 2 * nb + ng + arange(ng)] ## Vm and Qg columns
if nusr and (ppc['A'].shape[1] >= 2*nb + 2*ng):
## make sure there aren't any constraints on Vm or Qg
if ppc['A'][:, acc].nnz > 0:
stderr.write('opf_setup: attempting to solve DC OPF with user constraints on Vm or Qg\n')
# FIXME: delete sparse matrix columns
bcc = delete(arange(ppc['A'].shape[1]), acc)
ppc['A'] = ppc['A'].tolil()[:, bcc].tocsr() ## delete Vm and Qg columns
if nw and (ppc['N'].shape[1] >= 2*nb + 2*ng):
## make sure there aren't any costs on Vm or Qg
if ppc['N'][:, acc].nnz > 0:
ii, _ = nonzero(ppc['N'][:, acc])
_, ii = unique(ii, return_index=True) ## indices of w with potential non-zero cost terms from Vm or Qg
if any(ppc['Cw'][ii]) | ( ('H' in ppc) & (len(ppc['H']) > 0) &
any(any(ppc['H'][:, ii])) ):
stderr.write('opf_setup: attempting to solve DC OPF with user costs on Vm or Qg\n')
# FIXME: delete sparse matrix columns
bcc = delete(arange(ppc['N'].shape[1]), acc)
ppc['N'] = ppc['N'].tolil()[:, bcc].tocsr() ## delete Vm and Qg columns
## convert single-block piecewise-linear costs into linear polynomial cost
pwl1 = find((ppc['gencost'][:, MODEL] == PW_LINEAR) & (ppc['gencost'][:, NCOST] == 2))
# p1 = array([])
if len(pwl1) > 0:
x0 = ppc['gencost'][pwl1, COST]
y0 = ppc['gencost'][pwl1, COST + 1]
x1 = ppc['gencost'][pwl1, COST + 2]
y1 = ppc['gencost'][pwl1, COST + 3]
m = (y1 - y0) / (x1 - x0)
b = y0 - m * x0
ppc['gencost'][pwl1, MODEL] = POLYNOMIAL
ppc['gencost'][pwl1, NCOST] = 2
ppc['gencost'][pwl1, COST:COST + 2] = r_['1',m.reshape(len(m),1), b.reshape(len(b),1)] # changed from ppc['gencost'][pwl1, COST:COST + 2] = r_[m, b] because we need to make sure, that m and b have the same shape, resulted in a value error due to shape mismatch before
## create (read-only) copies of individual fields for convenience
baseMVA, bus, gen, branch, gencost, _, lbu, ubu, ppopt, \
_, fparm, H, Cw, z0, zl, zu, userfcn, _ = opf_args(ppc, ppopt)
## warn if there is more than one reference bus
refs = find(bus[:, BUS_TYPE] == REF)
if len(refs) > 1 and verbose > 0:
errstr = '\nopf_setup: Warning: Multiple reference buses.\n' + \
' For a system with islands, a reference bus in each island\n' + \
' may help convergence, but in a fully connected system such\n' + \
' a situation is probably not reasonable.\n\n'
stdout.write(errstr)
## set up initial variables and bounds
gbus = gen[:, GEN_BUS].astype(int)
Va = bus[:, VA] * (pi / 180.0)
Vm = bus[:, VM].copy()
Vm[gbus] = gen[:, VG] ## buses with gens, init Vm from gen data
Pg = gen[:, PG] / baseMVA
Qg = gen[:, QG] / baseMVA
Pmin = gen[:, PMIN] / baseMVA
Pmax = gen[:, PMAX] / baseMVA
Qmin = gen[:, QMIN] / baseMVA
Qmax = gen[:, QMAX] / baseMVA
if dc: ## DC model
## more problem dimensions
nv = 0 ## number of voltage magnitude vars
nq = 0 ## number of Qg vars
q1 = array([]) ## index of 1st Qg column in Ay
## power mismatch constraints
B, Bf, Pbusinj, Pfinj = makeBdc(baseMVA, bus, branch)
neg_Cg = sparse((-ones(ng), (gen[:, GEN_BUS], arange(ng))), (nb, ng)) ## Pbus w.r.t. Pg
Amis = hstack([B, neg_Cg], 'csr')
bmis = -(bus[:, PD] + bus[:, GS]) / baseMVA - Pbusinj
## branch flow constraints
il = find((branch[:, RATE_A] != 0) & (branch[:, RATE_A] < 1e10))
nl2 = len(il) ## number of constrained lines
lpf = -Inf * ones(nl2)
upf = branch[il, RATE_A] / baseMVA - Pfinj[il]
upt = branch[il, RATE_A] / baseMVA + Pfinj[il]
user_vars = ['Va', 'Pg']
ycon_vars = ['Pg', 'y']
else: ## AC model
## more problem dimensions
nv = nb ## number of voltage magnitude vars
nq = ng ## number of Qg vars
q1 = ng ## index of 1st Qg column in Ay
## dispatchable load, constant power factor constraints
Avl, lvl, uvl, _ = makeAvl(baseMVA, gen)
## generator PQ capability curve constraints
Apqh, ubpqh, Apql, ubpql, Apqdata = makeApq(baseMVA, gen)
user_vars = ['Va', 'Vm', 'Pg', 'Qg']
ycon_vars = ['Pg', 'Qg', 'y']
## voltage angle reference constraints
Vau = Inf * ones(nb)
Val = -Vau
Vau[refs] = Va[refs]
Val[refs] = Va[refs]
## branch voltage angle difference limits
Aang, lang, uang, iang = makeAang(baseMVA, branch, nb, ppopt)
## basin constraints for piece-wise linear gen cost variables
if alg == 545 or alg == 550: ## SC-PDIPM or TRALM, no CCV cost vars # pragma: no cover
ny = 0
Ay = None
by = array([])
else:
ipwl = find(gencost[:, MODEL] == PW_LINEAR) ## piece-wise linear costs
ny = ipwl.shape[0] ## number of piece-wise linear cost vars
Ay, by = makeAy(baseMVA, ng, gencost, 1, q1, 1+ng+nq)
if any((gencost[:, MODEL] != POLYNOMIAL) & (gencost[:, MODEL] != PW_LINEAR)):
stderr.write('opf_setup: some generator cost rows have invalid MODEL value\n')
## more problem dimensions
nx = nb+nv + ng+nq ## number of standard OPF control variables
if nusr: # pragma: no cover
nz = ppc['A'].shape[1] - nx ## number of user z variables
if nz < 0:
stderr.write('opf_setup: user supplied A matrix must have at least %d columns.\n' % nx)
else:
nz = 0 ## number of user z variables
if nw: ## still need to check number of columns of N
if ppc['N'].shape[1] != nx:
stderr.write('opf_setup: user supplied N matrix must have %d columns.\n' % nx)
## construct OPF model object
om = opf_model(ppc)
if len(pwl1) > 0:
om.userdata('pwl1', pwl1)
if dc:
om.userdata('Bf', Bf)
om.userdata('Pfinj', Pfinj)
om.userdata('iang', iang)
om.add_vars('Va', nb, Va, Val, Vau)
om.add_vars('Pg', ng, Pg, Pmin, Pmax)
om.add_constraints('Pmis', Amis, bmis, bmis, ['Va', 'Pg']) ## nb
om.add_constraints('Pf', Bf[il, :], lpf, upf, ['Va']) ## nl
om.add_constraints('Pt', -Bf[il, :], lpf, upt, ['Va']) ## nl
om.add_constraints('ang', Aang, lang, uang, ['Va']) ## nang
else:
om.userdata('Apqdata', Apqdata)
om.userdata('iang', iang)
om.add_vars('Va', nb, Va, Val, Vau)
om.add_vars('Vm', nb, Vm, bus[:, VMIN], bus[:, VMAX])
om.add_vars('Pg', ng, Pg, Pmin, Pmax)
om.add_vars('Qg', ng, Qg, Qmin, Qmax)
om.add_constraints('Pmis', nb, 'nonlinear')
om.add_constraints('Qmis', nb, 'nonlinear')
om.add_constraints('Sf', nl, 'nonlinear')
om.add_constraints('St', nl, 'nonlinear')
om.add_constraints('PQh', Apqh, array([]), ubpqh, ['Pg', 'Qg']) ## npqh
om.add_constraints('PQl', Apql, array([]), ubpql, ['Pg', 'Qg']) ## npql
om.add_constraints('vl', Avl, lvl, uvl, ['Pg', 'Qg']) ## nvl
om.add_constraints('ang', Aang, lang, uang, ['Va']) ## nang
## y vars, constraints for piece-wise linear gen costs
if ny > 0:
om.add_vars('y', ny)
om.add_constraints('ycon', Ay, array([]), by, ycon_vars) ## ncony
## add user vars, constraints and costs (as specified via A, ..., N, ...)
if nz > 0: # pragma: no cover
om.add_vars('z', nz, z0, zl, zu)
user_vars.append('z')
if nusr: # pragma: no cover
om.add_constraints('usr', ppc['A'], lbu, ubu, user_vars) ## nusr
if nw: # pragma: no cover
user_cost = {}
user_cost['N'] = ppc['N']
user_cost['Cw'] = Cw
if len(fparm) > 0:
user_cost['dd'] = fparm[:, 0]
user_cost['rh'] = fparm[:, 1]
user_cost['kk'] = fparm[:, 2]
user_cost['mm'] = fparm[:, 3]
# if len(H) > 0:
user_cost['H'] = H
om.add_costs('usr', user_cost, user_vars)
## execute userfcn callbacks for 'formulation' stage
run_userfcn(userfcn, 'formulation', om)
return om
def savecase(fname, ppc, comment=None, version='2'):
"""Saves a PYPOWER case file, given a filename and the data.
Writes a PYPOWER case file, given a filename and data dict. The C{fname}
parameter is the name of the file to be created or overwritten. Returns
the filename, with extension added if necessary. The optional C{comment}
argument is either string (single line comment) or a list of strings which
are inserted as comments. When using a PYPOWER case dict, if the
optional C{version} argument is '1' it will modify the data matrices to
version 1 format before saving.
@author: Carlos E. Murillo-Sanchez (PSERC Cornell & Universidad
Autonoma de Manizales)
@author: Ray Zimmerman (PSERC Cornell)
"""
ppc_ver = ppc["version"] = version
baseMVA, bus, gen, branch = \
ppc["baseMVA"], ppc["bus"], ppc["gen"], ppc["branch"]
areas = ppc["areas"] if "areas" in ppc else None
gencost = ppc["gencost"] if "gencost" in ppc else None
## modifications for version 1 format
if ppc_ver == "1":
raise NotImplementedError
# ## remove extra columns of gen
# if gen.shape[1] >= MU_QMIN:
# gen = c_[gen[:, :PMIN], gen[:, MU_PMAX:MU_QMIN]]
# else:
# gen = gen[:, :PMIN]
# ## use the version 1 values for column names
# shift = MU_PMAX - PMIN - 1
# tmp = array([MU_PMAX, MU_PMIN, MU_QMAX, MU_QMIN]) - shift
# MU_PMAX, MU_PMIN, MU_QMAX, MU_QMIN = tmp
#
# ## remove extra columns of branch
# if branch.shape[1] >= MU_ST:
# branch = c_[branch[:, :BR_STATUS], branch[:, PF:MU_ST]]
# elif branch.shape[1] >= QT:
# branch = c_[branch[:, :BR_STATUS], branch[:, PF:QT]]
# else:
# branch = branch[:, :BR_STATUS]
# ## use the version 1 values for column names
# shift = PF - BR_STATUS - 1
# tmp = array([PF, QF, PT, QT, MU_SF, MU_ST]) - shift
# PF, QF, PT, QT, MU_SF, MU_ST = tmp
## verify valid filename
l = len(fname)
rootname = ""
if l > 2:
if fname[-3:] == ".py":
rootname = fname[:-3]
extension = ".py"
elif l > 4:
if fname[-4:] == ".mat":
rootname = fname[:-4]
extension = ".mat"
if not rootname:
rootname = fname
extension = ".py"
fname = rootname + extension
indent = ' ' # four spaces
indent2 = indent + indent
## open and write the file
if extension == ".mat": ## MAT-file
savemat(fname, ppc)
else: ## Python file
try:
fd = open(fname, "wb")
except Exception as detail:
stderr.write("savecase: %s.\n" % detail)
return fname
## function header, etc.
if ppc_ver == "1":
raise NotImplementedError
# if (areas != None) and (gencost != None) and (len(gencost) > 0):
# fd.write('function [baseMVA, bus, gen, branch, areas, gencost] = %s\n' % rootname)
# else:
# fd.write('function [baseMVA, bus, gen, branch] = %s\n' % rootname)
# prefix = ''
else:
fd.write('def %s():\n' % basename(rootname))
prefix = 'ppc'
if comment:
if isinstance(comment, basestring):
fd.write('#%s\n' % comment)
elif isinstance(comment, list):
for c in comment:
fd.write('#%s\n' % c)
fd.write('\n%s## PYPOWER Case Format : Version %s\n' % (indent, ppc_ver))
if ppc_ver != "1":
fd.write("%sppc = {'version': '%s'}\n" % (indent, ppc_ver))
fd.write('\n%s##----- Power Flow Data -----##\n' % indent)
fd.write('%s## system MVA base\n' % indent)
fd.write("%s%s['baseMVA'] = %.9g\n" % (indent, prefix, baseMVA))
## bus data
ncols = bus.shape[1]
fd.write('\n%s## bus data\n' % indent)
fd.write('%s# bus_i type Pd Qd Gs Bs area Vm Va baseKV zone Vmax Vmin' % indent)
if ncols >= MU_VMIN + 1: ## opf SOLVED, save with lambda's & mu's
fd.write('lam_P lam_Q mu_Vmax mu_Vmin')
fd.write("\n%s%s['bus'] = array([\n" % (indent, prefix))
if ncols < MU_VMIN + 1: ## opf NOT SOLVED, save without lambda's & mu's
for i in range(bus.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.9g, %d, %.9g, %.9g],\n' % ((indent2,) + tuple(bus[i, :VMIN + 1])))
else: ## opf SOLVED, save with lambda's & mu's
for i in range(bus.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(bus[i, :MU_VMIN + 1])))
fd.write('%s])\n' % indent)
## generator data
ncols = gen.shape[1]
fd.write('\n%s## generator data\n' % indent)
fd.write('%s# bus Pg Qg Qmax Qmin Vg mBase status Pmax Pmin' % indent)
if ppc_ver != "1":
fd.write(' Pc1 Pc2 Qc1min Qc1max Qc2min Qc2max ramp_agc ramp_10 ramp_30 ramp_q apf')
if ncols >= MU_QMIN + 1: # opf SOLVED, save with mu's
fd.write(' mu_Pmax mu_Pmin mu_Qmax mu_Qmin')
fd.write("\n%s%s['gen'] = array([\n" % (indent, prefix))
if ncols < MU_QMIN + 1: ## opf NOT SOLVED, save without mu's
if ppc_ver == "1":
for i in range(gen.shape[0]):
fd.write('%s[%d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g],\n' % ((indent2,) + tuple(gen[i, :PMIN + 1])))
else:
for i in range(gen.shape[0]):
fd.write('%s[%d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g],\n' % ((indent2,) + tuple(gen[i, :APF + 1])))
else:
if ppc_ver == "1":
for i in range(gen.shape[0]):
fd.write('%s[%d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(gen[i, :MU_QMIN + 1])))
else:
for i in range(gen.shape[0]):
fd.write('%s[%d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(gen[i, :MU_QMIN + 1])))
fd.write('%s])\n' % indent)
## branch data
ncols = branch.shape[1]
fd.write('\n%s## branch data\n' % indent)
fd.write('%s# fbus tbus r x b rateA rateB rateC ratio angle status' % indent)
if ppc_ver != "1":
fd.write(' angmin angmax')
if ncols >= QT + 1: ## power flow SOLVED, save with line flows
fd.write(' Pf Qf Pt Qt')
if ncols >= MU_ST + 1: ## opf SOLVED, save with mu's
fd.write(' mu_Sf mu_St')
if ppc_ver != "1":
fd.write(' mu_angmin mu_angmax')
fd.write('\n%s%s[\'branch\'] = array([\n' % (indent, prefix))
if ncols < QT + 1: ## power flow NOT SOLVED, save without line flows or mu's
if ppc_ver == "1":
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d],\n' % ((indent2,) + tuple(branch[i, :BR_STATUS + 1])))
else:
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g],\n' % ((indent2,) + tuple(branch[i, :ANGMAX + 1])))
elif ncols < MU_ST + 1: ## power flow SOLVED, save with line flows but without mu's
if ppc_ver == "1":
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(branch[i, :QT + 1])))
else:
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(branch[i, :QT + 1])))
else: ## opf SOLVED, save with lineflows & mu's
if ppc_ver == "1":
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.4f, %.4f, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(branch[i, :MU_ST + 1])))
else:
for i in range(branch.shape[0]):
fd.write('%s[%d, %d, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %.9g, %d, %.9g, %.9g, %.4f, %.4f, %.4f, %.4f, %.4f, %.4f, %.4f, %.4f],\n' % ((indent2,) + tuple(branch[i, :MU_ANGMAX + 1])))
fd.write('%s])\n' % indent)
## OPF data
if (areas != None) and (len(areas) > 0) or (gencost != None) and (len(gencost) > 0):
fd.write('\n%s##----- OPF Data -----##' % indent)
if (areas != None) and (len(areas) > 0):
## area data
fd.write('\n%s## area data\n' % indent)
fd.write('%s# area refbus\n' % indent)
fd.write("%s%s['areas'] = array([\n" % (indent, prefix))
if len(areas) > 0:
for i in range(areas.shape[0]):
fd.write('%s[%d, %d],\n' % ((indent2,) + tuple(areas[i, :PRICE_REF_BUS + 1])))
fd.write('%s])\n' % indent)
if gencost != None and len(gencost) > 0:
## generator cost data
fd.write('\n%s## generator cost data\n' % indent)
fd.write('%s# 1 startup shutdown n x1 y1 ... xn yn\n' % indent)
fd.write('%s# 2 startup shutdown n c(n-1) ... c0\n' % indent)
fd.write('%s%s[\'gencost\'] = array([\n' % (indent, prefix))
if len(gencost > 0):
if any(gencost[:, MODEL] == PW_LINEAR):
n1 = 2 * max(gencost[gencost[:, MODEL] == PW_LINEAR, NCOST])
else:
n1 = 0
if any(gencost[:, MODEL] == POLYNOMIAL):
n2 = max(gencost[gencost[:, MODEL] == POLYNOMIAL, NCOST])
else:
n2 = 0
n = int( max([n1, n2]) )
if gencost.shape[1] < n + 4:
stderr.write('savecase: gencost data claims it has more columns than it does\n')
template = '%s[%d, %.9g, %.9g, %d'
for i in range(n):
template = template + ', %.9g'
template = template + '],\n'
for i in range(gencost.shape[0]):
fd.write(template % ((indent2,) + tuple(gencost[i])))
fd.write('%s])\n' % indent)
## generalized OPF user data
if ("A" in ppc) and (len(ppc["A"]) > 0) or ("N" in ppc) and (len(ppc["N"]) > 0):
fd.write('\n%s##----- Generalized OPF User Data -----##' % indent)
## user constraints
if ("A" in ppc) and (len(ppc["A"]) > 0):
## A
fd.write('\n%s## user constraints\n' % indent)
print_sparse(fd, prefix + "['A']", ppc["A"])
if ("l" in ppc) and (len(ppc["l"]) > 0) and ("u" in ppc) and (len(ppc["u"]) > 0):
fd.write('%slu = array([\n' % indent)
for i in range(len(l)):
fd.write('%s[%.9g, %.9g],\n' % (indent2, ppc["l"][i], ppc["u"][i]))
fd.write('%s])\n' % indent)
fd.write("%s%s['l'] = lu[:, 0]\n" % (indent, prefix))
fd.write("%s%s['u'] = lu[:, 1]\n\n" % (indent, prefix))
elif ("l" in ppc) and (len(ppc["l"]) > 0):
fd.write("%s%s['l'] = array([\n" % (indent, prefix))
for i in range(len(l)):
fd.write('%s[%.9g],\n' % (indent2, ppc["l"][i]))
fd.write('%s])\n\n' % indent)
elif ("u" in ppc) and (len(ppc["u"]) > 0):
fd.write("%s%s['u'] = array([\n" % (indent, prefix))
for i in range(len(l)):
fd.write('%s[%.9g],\n' % (indent2, ppc["u"][i]))
fd.write('%s])\n\n' % indent)
## user costs
if ("N" in ppc) and (len(ppc["N"]) > 0):
fd.write('\n%s## user costs\n' % indent)
print_sparse(fd, prefix + "['N']", ppc["N"])
if ("H" in ppc) and (len(ppc["H"]) > 0):
print_sparse(fd, prefix + "['H']", ppc["H"])
if ("fparm" in ppc) and (len(ppc["fparm"]) > 0):
fd.write("%sCw_fparm = array([\n" % indent)
for i in range(ppc["Cw"]):
fd.write('%s[%.9g, %d, %.9g, %.9g, %.9g],\n' % ((indent2,) + tuple(ppc["Cw"][i]) + tuple(ppc["fparm"][i, :])))
fd.write('%s])\n' % indent)
fd.write('%s%s[\'Cw\'] = Cw_fparm[:, 0]\n' % (indent, prefix))
fd.write("%s%s['fparm'] = Cw_fparm[:, 1:5]\n" % (indent, prefix))
else:
fd.write("%s%s['Cw'] = array([\n" % (indent, prefix))
for i in range(len(ppc["Cw"])):
fd.write('%s[%.9g],\n' % (indent2, ppc["Cw"][i]))
fd.write('%s])\n' % indent)
## user vars
if ('z0' in ppc) or ('zl' in ppc) or ('zu' in ppc):
fd.write('\n%s## user vars\n' % indent)
if ('z0' in ppc) and (len(ppc['z0']) > 0):
fd.write('%s%s["z0"] = array([\n' % (indent, prefix))
for i in range(len(ppc['z0'])):
fd.write('%s[%.9g],\n' % (indent2, ppc["z0"]))
fd.write('%s])\n' % indent)
if ('zl' in ppc) and (len(ppc['zl']) > 0):
fd.write('%s%s["zl"] = array([\n' % (indent2, prefix))
for i in range(len(ppc['zl'])):
fd.write('%s[%.9g],\n' % (indent2, ppc["zl"]))
fd.write('%s])\n' % indent)
if ('zu' in ppc) and (len(ppc['zu']) > 0):
fd.write('%s%s["zu"] = array([\n' % (indent, prefix))
for i in range(len(ppc['zu'])):
fd.write('%s[%.9g],\n' % (indent2, ppc["zu"]))
fd.write('%s])\n' % indent)
## execute userfcn callbacks for 'savecase' stage
if 'userfcn' in ppc:
run_userfcn(ppc["userfcn"], 'savecase', ppc, fd, prefix)
fd.write('\n%sreturn ppc\n' % indent)
## close file
fd.close()
return fname
def ext2int(ppc, val_or_field=None, ordering=None, dim=0):
"""Converts external to internal indexing.
This function has two forms, the old form that operates on
and returns individual matrices and the new form that operates
on and returns an entire PYPOWER case dict.
1. C{ppc = ext2int(ppc)}
If the input is a single PYPOWER case dict, then all isolated
buses, off-line generators and branches are removed along with any
generators, branches or areas connected to isolated buses. Then the
buses are renumbered consecutively, beginning at 0, and the
generators are sorted by increasing bus number. Any 'ext2int'
callback routines registered in the case are also invoked
automatically. All of the related
indexing information and the original data matrices are stored under
the 'order' key of the dict to be used by C{int2ext} to perform
the reverse conversions. If the case is already using internal
numbering it is returned unchanged.
Example::
ppc = ext2int(ppc)
@see: L{int2ext}, L{e2i_field}, L{e2i_data}
@author: Ray Zimmerman (PSERC Cornell)
@author: Richard Lincoln
"""
ppc = deepcopy(ppc)
if val_or_field is None: # nargin == 1
first = 'order' not in ppc
if first or ppc["order"]["state"] == 'e':
## initialize order
if first:
o = {
'ext': {
'bus': None,
'branch': None,
'gen': None
},
'bus': { 'e2i': None,
'i2e': None,
'status': {} },
'gen': { 'e2i': None,
'i2e': None,
'status': {} },
'branch': { 'status': {} }
}
else:
o = ppc["order"]
## sizes
nb = ppc["bus"].shape[0]
ng = ppc["gen"].shape[0]
ng0 = ng
if 'A' in ppc:
dc = True if ppc["A"].shape[1] < (2 * nb + 2 * ng) else False
elif 'N' in ppc:
dc = True if ppc["N"].shape[1] < (2 * nb + 2 * ng) else False
else:
dc = False
## save data matrices with external ordering
if 'ext' not in o: o['ext'] = {}
o["ext"]["bus"] = ppc["bus"].copy()
o["ext"]["branch"] = ppc["branch"].copy()
o["ext"]["gen"] = ppc["gen"].copy()
if 'areas' in ppc:
if len(ppc["areas"]) == 0: ## if areas field is empty
del ppc['areas'] ## delete it (so it's ignored)
else: ## otherwise
o["ext"]["areas"] = ppc["areas"].copy() ## save it
## check that all buses have a valid BUS_TYPE
bt = ppc["bus"][:, BUS_TYPE]
err = find(~((bt == PQ) | (bt == PV) | (bt == REF) | (bt == NONE)))
if len(err) > 0:
sys.stderr.write('ext2int: bus %d has an invalid BUS_TYPE\n' % err)
## determine which buses, branches, gens are connected and
## in-service
n2i = sparse((range(nb), (ppc["bus"][:, BUS_I], zeros(nb))),
shape=(max(ppc["bus"][:, BUS_I]) + 1, 1))
n2i = array( n2i.todense().flatten() )[0, :] # as 1D array
bs = (bt != NONE) ## bus status
o["bus"]["status"]["on"] = find( bs ) ## connected
o["bus"]["status"]["off"] = find( ~bs ) ## isolated
gs = ( (ppc["gen"][:, GEN_STATUS] > 0) & ## gen status
bs[ n2i[ppc["gen"][:, GEN_BUS].astype(int)] ] )
o["gen"]["status"]["on"] = find( gs ) ## on and connected
o["gen"]["status"]["off"] = find( ~gs ) ## off or isolated
brs = ( ppc["branch"][:, BR_STATUS].astype(int) & ## branch status
bs[n2i[ppc["branch"][:, F_BUS].astype(int)]] &
bs[n2i[ppc["branch"][:, T_BUS].astype(int)]] ).astype(bool)
o["branch"]["status"]["on"] = find( brs ) ## on and conn
o["branch"]["status"]["off"] = find( ~brs )
if 'areas' in ppc:
ar = bs[ n2i[ppc["areas"][:, PRICE_REF_BUS].astype(int)] ]
o["areas"] = {"status": {}}
o["areas"]["status"]["on"] = find( ar )
o["areas"]["status"]["off"] = find( ~ar )
## delete stuff that is "out"
if len(o["bus"]["status"]["off"]) > 0:
# ppc["bus"][o["bus"]["status"]["off"], :] = array([])
ppc["bus"] = ppc["bus"][o["bus"]["status"]["on"], :]
if len(o["branch"]["status"]["off"]) > 0:
# ppc["branch"][o["branch"]["status"]["off"], :] = array([])
ppc["branch"] = ppc["branch"][o["branch"]["status"]["on"], :]
if len(o["gen"]["status"]["off"]) > 0:
# ppc["gen"][o["gen"]["status"]["off"], :] = array([])
ppc["gen"] = ppc["gen"][o["gen"]["status"]["on"], :]
if 'areas' in ppc and (len(o["areas"]["status"]["off"]) > 0):
# ppc["areas"][o["areas"]["status"]["off"], :] = array([])
ppc["areas"] = ppc["areas"][o["areas"]["status"]["on"], :]
## update size
nb = ppc["bus"].shape[0]
## apply consecutive bus numbering
o["bus"]["i2e"] = ppc["bus"][:, BUS_I].copy()
o["bus"]["e2i"] = zeros(max(o["bus"]["i2e"]) + 1)
o["bus"]["e2i"][o["bus"]["i2e"].astype(int)] = arange(nb)
ppc["bus"][:, BUS_I] = \
o["bus"]["e2i"][ ppc["bus"][:, BUS_I].astype(int) ].copy()
ppc["gen"][:, GEN_BUS] = \
o["bus"]["e2i"][ ppc["gen"][:, GEN_BUS].astype(int) ].copy()
ppc["branch"][:, F_BUS] = \
o["bus"]["e2i"][ ppc["branch"][:, F_BUS].astype(int) ].copy()
ppc["branch"][:, T_BUS] = \
o["bus"]["e2i"][ ppc["branch"][:, T_BUS].astype(int) ].copy()
if 'areas' in ppc:
ppc["areas"][:, PRICE_REF_BUS] = \
o["bus"]["e2i"][ ppc["areas"][:,
PRICE_REF_BUS].astype(int) ].copy()
## reorder gens in order of increasing bus number
o["gen"]["e2i"] = argsort(ppc["gen"][:, GEN_BUS])
o["gen"]["i2e"] = argsort(o["gen"]["e2i"])
ppc["gen"] = ppc["gen"][o["gen"]["e2i"].astype(int), :]
if 'int' in o:
del o['int']
o["state"] = 'i'
ppc["order"] = o
## update gencost, A and N
if 'gencost' in ppc:
ordering = ['gen'] ## Pg cost only
if ppc["gencost"].shape[0] == (2 * ng0):
ordering.append('gen') ## include Qg cost
ppc = e2i_field(ppc, 'gencost', ordering)
if 'A' in ppc or 'N' in ppc:
if dc:
ordering = ['bus', 'gen']
else:
ordering = ['bus', 'bus', 'gen', 'gen']
if 'A' in ppc:
ppc = e2i_field(ppc, 'A', ordering, 1)
if 'N' in ppc:
ppc = e2i_field(ppc, 'N', ordering, 1)
## execute userfcn callbacks for 'ext2int' stage
if 'userfcn' in ppc:
ppc = run_userfcn(ppc['userfcn'], 'ext2int', ppc)
else: ## convert extra data
if isinstance(val_or_field, str) or isinstance(val_or_field, list):
## field
warn('Calls of the form ppc = ext2int(ppc, '
'\'field_name\', ...) have been deprecated. Please '
'replace ext2int with e2i_field.', DeprecationWarning)
gen, branch = val_or_field, ordering
ppc = e2i_field(ppc, gen, branch, dim)
else:
## value
warn('Calls of the form val = ext2int(ppc, val, ...) have been '
'deprecated. Please replace ext2int with e2i_data.',
DeprecationWarning)
gen, branch = val_or_field, ordering
ppc = e2i_data(ppc, gen, branch, dim)
return ppc
def printpf(baseMVA,
bus=None,
gen=None,
branch=None,
f=None,
success=None,
et=None,
fd=None,
ppopt=None):
"""Prints power flow results.
Prints power flow and optimal power flow results to C{fd} (a file
descriptor which defaults to C{stdout}), with the details of what
gets printed controlled by the optional C{ppopt} argument, which is a
PYPOWER options vector (see L{ppoption} for details).
The data can either be supplied in a single C{results} dict, or
in the individual arguments: C{baseMVA}, C{bus}, C{gen}, C{branch}, C{f},
C{success} and C{et}, where C{f} is the OPF objective function value,
C{success} is C{True} if the solution converged and C{False} otherwise,
and C{et} is the elapsed time for the computation in seconds. If C{f} is
given, it is assumed that the output is from an OPF run, otherwise it is
assumed to be a simple power flow run.
Examples::
ppopt = ppoptions(OUT_GEN=1, OUT_BUS=0, OUT_BRANCH=0)
fd = open(fname, 'w+b')
results = runopf(ppc)
printpf(results)
printpf(results, fd)
printpf(results, fd, ppopt)
printpf(baseMVA, bus, gen, branch, f, success, et)
printpf(baseMVA, bus, gen, branch, f, success, et, fd)
printpf(baseMVA, bus, gen, branch, f, success, et, fd, ppopt)
fd.close()
@author: Ray Zimmerman (PSERC Cornell)
"""
##----- initialization -----
## default arguments
if isinstance(baseMVA, dict):
have_results_struct = 1
results = baseMVA
if gen is None:
ppopt = ppoption() ## use default options
else:
ppopt = gen
if (ppopt['OUT_ALL'] == 0):
return ## nothin' to see here, bail out now
if bus is None:
fd = stdout ## print to stdout by default
else:
fd = bus
baseMVA, bus, gen, branch, success, et = \
results["baseMVA"], results["bus"], results["gen"], \
results["branch"], results["success"], results["et"]
if 'f' in results:
f = results["f"]
else:
f = None
else:
have_results_struct = 0
if ppopt is None:
ppopt = ppoption() ## use default options
if fd is None:
fd = stdout ## print to stdout by default
if ppopt['OUT_ALL'] == 0:
return ## nothin' to see here, bail out now
isOPF = f is not None ## FALSE -> only simple PF data, TRUE -> OPF data
## options
isDC = ppopt['PF_DC'] ## use DC formulation?
OUT_ALL = ppopt['OUT_ALL']
OUT_ANY = OUT_ALL == 1 ## set to true if any pretty output is to be generated
OUT_SYS_SUM = (OUT_ALL == 1) or ((OUT_ALL == -1) and ppopt['OUT_SYS_SUM'])
OUT_AREA_SUM = (OUT_ALL == 1) or ((OUT_ALL == -1)
and ppopt['OUT_AREA_SUM'])
OUT_BUS = (OUT_ALL == 1) or ((OUT_ALL == -1) and ppopt['OUT_BUS'])
OUT_BRANCH = (OUT_ALL == 1) or ((OUT_ALL == -1) and ppopt['OUT_BRANCH'])
OUT_GEN = (OUT_ALL == 1) or ((OUT_ALL == -1) and ppopt['OUT_GEN'])
OUT_ANY = OUT_ANY | (
(OUT_ALL == -1) and
(OUT_SYS_SUM or OUT_AREA_SUM or OUT_BUS or OUT_BRANCH or OUT_GEN))
if OUT_ALL == -1:
OUT_ALL_LIM = ppopt['OUT_ALL_LIM']
elif OUT_ALL == 1:
OUT_ALL_LIM = 2
else:
OUT_ALL_LIM = 0
OUT_ANY = OUT_ANY or (OUT_ALL_LIM >= 1)
if OUT_ALL_LIM == -1:
OUT_V_LIM = ppopt['OUT_V_LIM']
OUT_LINE_LIM = ppopt['OUT_LINE_LIM']
OUT_PG_LIM = ppopt['OUT_PG_LIM']
OUT_QG_LIM = ppopt['OUT_QG_LIM']
else:
OUT_V_LIM = OUT_ALL_LIM
OUT_LINE_LIM = OUT_ALL_LIM
OUT_PG_LIM = OUT_ALL_LIM
OUT_QG_LIM = OUT_ALL_LIM
OUT_ANY = OUT_ANY or (
(OUT_ALL_LIM == -1) and
(OUT_V_LIM or OUT_LINE_LIM or OUT_PG_LIM or OUT_QG_LIM))
ptol = 1e-4 ## tolerance for displaying shadow prices
## create map of external bus numbers to bus indices
i2e = bus[:, BUS_I].astype(int)
e2i = zeros(max(i2e) + 1, int)
e2i[i2e] = arange(bus.shape[0])
## sizes of things
nb = bus.shape[0] ## number of buses
nl = branch.shape[0] ## number of branches
ng = gen.shape[0] ## number of generators
## zero out some data to make printout consistent for DC case
if isDC:
bus[:, r_[QD, BS]] = zeros((nb, 2))
gen[:, r_[QG, QMAX, QMIN]] = zeros((ng, 3))
branch[:, r_[BR_R, BR_B]] = zeros((nl, 2))
## parameters
ties = find(
bus[e2i[branch[:, F_BUS].real.astype(int)],
BUS_AREA] != bus[e2i[branch[:, T_BUS].real.astype(int)], BUS_AREA])
## area inter-ties
tap = ones(nl) ## default tap ratio = 1 for lines
xfmr = find(branch[:, TAP]).real ## indices of transformers
tap[xfmr] = branch[xfmr, TAP].real ## include transformer tap ratios
tap = tap * exp(-1j * pi / 180 * branch[:, SHIFT]) ## add phase shifters
nzld = find((bus[:, PD] != 0.0) | (bus[:, QD] != 0.0))
sorted_areas = sort(bus[:, BUS_AREA])
## area numbers
s_areas = sorted_areas[r_[1, find(diff(sorted_areas)) + 1]]
nzsh = find((bus[:, GS] != 0.0) | (bus[:, BS] != 0.0))
allg = find(~isload(gen))
ong = find((gen[:, GEN_STATUS] > 0) & ~isload(gen))
onld = find((gen[:, GEN_STATUS] > 0) & isload(gen))
V = bus[:, VM] * exp(-1j * pi / 180 * bus[:, VA])
out = find(branch[:, BR_STATUS] == 0) ## out-of-service branches
nout = len(out)
if isDC:
loss = zeros(nl)
else:
loss = baseMVA * abs(V[e2i[ branch[:, F_BUS].real.astype(int) ]] / tap -
V[e2i[ branch[:, T_BUS].real.astype(int) ]])**2 / \
(branch[:, BR_R] - 1j * branch[:, BR_X])
fchg = abs(V[e2i[branch[:, F_BUS].real.astype(int)]] /
tap)**2 * branch[:, BR_B].real * baseMVA / 2
tchg = abs(V[e2i[branch[:, T_BUS].real.astype(
int)]])**2 * branch[:, BR_B].real * baseMVA / 2
loss[out] = zeros(nout)
fchg[out] = zeros(nout)
tchg[out] = zeros(nout)
##----- print the stuff -----
if OUT_ANY:
## convergence & elapsed time
if success:
fd.write('\nConverged in %.2f seconds' % et)
else:
fd.write('\nDid not converge (%.2f seconds)\n' % et)
## objective function value
if isOPF:
fd.write('\nObjective Function Value = %.2f $/hr' % f)
if OUT_SYS_SUM:
fd.write(
'\n================================================================================'
)
fd.write(
'\n| System Summary |'
)
fd.write(
'\n================================================================================'
)
fd.write(
'\n\nHow many? How much? P (MW) Q (MVAr)'
)
fd.write(
'\n--------------------- ------------------- ------------- -----------------'
)
fd.write(
'\nBuses %6d Total Gen Capacity %7.1f %7.1f to %.1f'
% (nb, sum(gen[allg, PMAX]), sum(gen[allg,
QMIN]), sum(gen[allg, QMAX])))
fd.write(
'\nGenerators %5d On-line Capacity %7.1f %7.1f to %.1f'
% (len(allg), sum(gen[ong, PMAX]), sum(
gen[ong, QMIN]), sum(gen[ong, QMAX])))
fd.write(
'\nCommitted Gens %5d Generation (actual) %7.1f %7.1f'
% (len(ong), sum(gen[ong, PG]), sum(gen[ong, QG])))
fd.write(
'\nLoads %5d Load %7.1f %7.1f'
% (len(nzld) + len(onld), sum(bus[nzld, PD]) - sum(gen[onld, PG]),
sum(bus[nzld, QD]) - sum(gen[onld, QG])))
fd.write(
'\n Fixed %5d Fixed %7.1f %7.1f'
% (len(nzld), sum(bus[nzld, PD]), sum(bus[nzld, QD])))
fd.write(
'\n Dispatchable %5d Dispatchable %7.1f of %-7.1f%7.1f'
% (len(onld), -sum(gen[onld, PG]), -sum(gen[onld, PMIN]),
-sum(gen[onld, QG])))
fd.write(
'\nShunts %5d Shunt (inj) %7.1f %7.1f'
% (len(nzsh), -sum(bus[nzsh, VM]**2 * bus[nzsh, GS]),
sum(bus[nzsh, VM]**2 * bus[nzsh, BS])))
fd.write(
'\nBranches %5d Losses (I^2 * Z) %8.2f %8.2f'
% (nl, sum(loss.real), sum(loss.imag)))
fd.write(
'\nTransformers %5d Branch Charging (inj) - %7.1f'
% (len(xfmr), sum(fchg) + sum(tchg)))
fd.write(
'\nInter-ties %5d Total Inter-tie Flow %7.1f %7.1f'
% (len(ties), sum(abs(branch[ties, PF] - branch[ties, PT])) / 2,
sum(abs(branch[ties, QF] - branch[ties, QT])) / 2))
fd.write('\nAreas %5d' % len(s_areas))
fd.write('\n')
fd.write(
'\n Minimum Maximum')
fd.write(
'\n ------------------------- --------------------------------'
)
minv = min(bus[:, VM])
mini = argmin(bus[:, VM])
maxv = max(bus[:, VM])
maxi = argmax(bus[:, VM])
fd.write(
'\nVoltage Magnitude %7.3f p.u. @ bus %-4d %7.3f p.u. @ bus %-4d'
% (minv, bus[mini, BUS_I], maxv, bus[maxi, BUS_I]))
minv = min(bus[:, VA])
mini = argmin(bus[:, VA])
maxv = max(bus[:, VA])
maxi = argmax(bus[:, VA])
fd.write(
'\nVoltage Angle %8.2f deg @ bus %-4d %8.2f deg @ bus %-4d'
% (minv, bus[mini, BUS_I], maxv, bus[maxi, BUS_I]))
if not isDC:
maxv = max(loss.real)
maxi = argmax(loss.real)
fd.write(
'\nP Losses (I^2*R) - %8.2f MW @ line %d-%d'
% (maxv, branch[maxi, F_BUS].real, branch[maxi, T_BUS].real))
maxv = max(loss.imag)
maxi = argmax(loss.imag)
fd.write(
'\nQ Losses (I^2*X) - %8.2f MVAr @ line %d-%d'
% (maxv, branch[maxi, F_BUS].real, branch[maxi, T_BUS].real))
if isOPF:
minv = min(bus[:, LAM_P])
mini = argmin(bus[:, LAM_P])
maxv = max(bus[:, LAM_P])
maxi = argmax(bus[:, LAM_P])
fd.write(
'\nLambda P %8.2f $/MWh @ bus %-4d %8.2f $/MWh @ bus %-4d'
% (minv, bus[mini, BUS_I], maxv, bus[maxi, BUS_I]))
minv = min(bus[:, LAM_Q])
mini = argmin(bus[:, LAM_Q])
maxv = max(bus[:, LAM_Q])
maxi = argmax(bus[:, LAM_Q])
fd.write(
'\nLambda Q %8.2f $/MWh @ bus %-4d %8.2f $/MWh @ bus %-4d'
% (minv, bus[mini, BUS_I], maxv, bus[maxi, BUS_I]))
fd.write('\n')
if OUT_AREA_SUM:
fd.write(
'\n================================================================================'
)
fd.write(
'\n| Area Summary |'
)
fd.write(
'\n================================================================================'
)
fd.write(
'\nArea # of # of Gens # of Loads # of # of # of # of'
)
fd.write(
'\n Num Buses Total Online Total Fixed Disp Shunt Brchs Xfmrs Ties'
)
fd.write(
'\n---- ----- ----- ------ ----- ----- ----- ----- ----- ----- -----'
)
for i in range(len(s_areas)):
a = s_areas[i]
ib = find(bus[:, BUS_AREA] == a)
ig = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a)
& ~isload(gen))
igon = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a)
& (gen[:, GEN_STATUS] > 0) & ~isload(gen))
ildon = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a)
& (gen[:, GEN_STATUS] > 0) & isload(gen))
inzld = find((bus[:, BUS_AREA] == a)
& logical_or(bus[:, PD], bus[:, QD]))
inzsh = find((bus[:, BUS_AREA] == a)
& logical_or(bus[:, GS], bus[:, BS]))
ibrch = find(
(bus[e2i[branch[:, F_BUS].real.astype(int)], BUS_AREA] == a)
& (bus[e2i[branch[:, T_BUS].real.astype(int)], BUS_AREA] == a))
in_tie = find(
(bus[e2i[branch[:, F_BUS].real.astype(int)], BUS_AREA] == a)
& (bus[e2i[branch[:, T_BUS].real.astype(int)], BUS_AREA] != a))
out_tie = find(
(bus[e2i[branch[:, F_BUS].real.astype(int)], BUS_AREA] != a)
& (bus[e2i[branch[:, T_BUS].real.astype(int)], BUS_AREA] == a))
if not any(xfmr + 1):
nxfmr = 0
else:
nxfmr = len(
find((bus[e2i[branch[xfmr, F_BUS].real.astype(int)],
BUS_AREA] == a)
& (bus[e2i[branch[xfmr, T_BUS].real.astype(int)],
BUS_AREA] == a)))
fd.write('\n%3d %6d %5d %5d %5d %5d %5d %5d %5d %5d %5d' %
(a, len(ib), len(ig), len(igon), \
len(inzld)+len(ildon), len(inzld), len(ildon), \
len(inzsh), len(ibrch), nxfmr, len(in_tie)+len(out_tie)))
fd.write(
'\n---- ----- ----- ------ ----- ----- ----- ----- ----- ----- -----'
)
fd.write(
'\nTot: %6d %5d %5d %5d %5d %5d %5d %5d %5d %5d' %
(nb, len(allg), len(ong), len(nzld) + len(onld), len(nzld),
len(onld), len(nzsh), nl, len(xfmr), len(ties)))
fd.write('\n')
fd.write(
'\nArea Total Gen Capacity On-line Gen Capacity Generation'
)
fd.write(
'\n Num MW MVAr MW MVAr MW MVAr'
)
fd.write(
'\n---- ------ ------------------ ------ ------------------ ------ ------'
)
for i in range(len(s_areas)):
a = s_areas[i]
ig = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a)
& ~isload(gen))
igon = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a)
& (gen[:, GEN_STATUS] > 0) & ~isload(gen))
fd.write(
'\n%3d %7.1f %7.1f to %-.1f %7.1f %7.1f to %-7.1f %7.1f %7.1f'
%
(a, sum(gen[ig, PMAX]), sum(gen[ig, QMIN]), sum(
gen[ig, QMAX]), sum(gen[igon, PMAX]), sum(gen[igon, QMIN]),
sum(gen[igon, QMAX]), sum(gen[igon, PG]), sum(gen[igon, QG])))
fd.write(
'\n---- ------ ------------------ ------ ------------------ ------ ------'
)
# fd.write('\nTot: %7.1f %7.1f to %-7.1f %7.1f %7.1f to %-7.1f %7.1f %7.1f' %
# (sum(gen[allg, PMAX]), sum(gen[allg, QMIN]), sum(gen[allg, QMAX]),
# sum(gen[ong, PMAX]), sum(gen[ong, QMIN]), sum(gen[ong, QMAX]),
# sum(gen[ong, PG]), sum(gen[ong, QG]) ))
fd.write('\n')
fd.write(
'\nArea Disp Load Cap Disp Load Fixed Load Total Load'
)
fd.write(
'\n Num MW MVAr MW MVAr MW MVAr MW MVAr'
)
fd.write(
'\n---- ------ ------ ------ ------ ------ ------ ------ ------'
)
Qlim = (gen[:, QMIN] == 0) * gen[:, QMAX] + (gen[:, QMAX]
== 0) * gen[:, QMIN]
for i in range(len(s_areas)):
a = s_areas[i]
ildon = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a)
& (gen[:, GEN_STATUS] > 0) & isload(gen))
inzld = find((bus[:, BUS_AREA] == a)
& logical_or(bus[:, PD], bus[:, QD]))
fd.write(
'\n%3d %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f'
% (a, -sum(gen[ildon, PMIN]), -sum(Qlim[ildon]),
-sum(gen[ildon, PG]), -sum(gen[ildon, QG]),
sum(bus[inzld, PD]), sum(bus[inzld, QD]),
-sum(gen[ildon, PG]) + sum(bus[inzld, PD]),
-sum(gen[ildon, QG]) + sum(bus[inzld, QD])))
fd.write(
'\n---- ------ ------ ------ ------ ------ ------ ------ ------'
)
fd.write(
'\nTot: %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f' %
(-sum(gen[onld, PMIN]), -sum(Qlim[onld]), -sum(gen[onld, PG]),
-sum(gen[onld, QG]), sum(bus[nzld, PD]), sum(
bus[nzld, QD]), -sum(gen[onld, PG]) + sum(bus[nzld, PD]),
-sum(gen[onld, QG]) + sum(bus[nzld, QD])))
fd.write('\n')
fd.write(
'\nArea Shunt Inj Branch Series Losses Net Export'
)
fd.write(
'\n Num MW MVAr Charging MW MVAr MW MVAr'
)
fd.write(
'\n---- ------ ------ -------- ------ ------ ------ ------'
)
for i in range(len(s_areas)):
a = s_areas[i]
inzsh = find((bus[:, BUS_AREA] == a)
& logical_or(bus[:, GS], bus[:, BS]))
ibrch = find(
(bus[e2i[branch[:, F_BUS].real.astype(int)], BUS_AREA] == a)
& (bus[e2i[branch[:, T_BUS].real.astype(int)], BUS_AREA] == a)
& branch[:, BR_STATUS].astype(bool))
in_tie = find(
(bus[e2i[branch[:, F_BUS].real.astype(int)], BUS_AREA] != a)
& (bus[e2i[branch[:, T_BUS].real.astype(int)], BUS_AREA] == a)
& branch[:, BR_STATUS].astype(bool))
out_tie = find(
(bus[e2i[branch[:, F_BUS].real.astype(int)], BUS_AREA] == a)
& (bus[e2i[branch[:, T_BUS].real.astype(int)], BUS_AREA] != a)
& branch[:, BR_STATUS].astype(bool))
fd.write(
'\n%3d %7.1f %7.1f %7.1f %7.2f %7.2f %7.1f %7.1f' %
(a, -sum(bus[inzsh, VM]**2 * bus[inzsh, GS]),
sum(bus[inzsh, VM]**2 * bus[inzsh, BS]), sum(fchg[ibrch]) +
sum(tchg[ibrch]) + sum(fchg[out_tie]) + sum(tchg[in_tie]),
sum(real(loss[ibrch])) +
sum(real(loss[r_[in_tie, out_tie]])) / 2,
sum(imag(loss[ibrch])) +
sum(imag(loss[r_[in_tie, out_tie]])) / 2,
sum(branch[in_tie, PT]) + sum(branch[out_tie, PF]) -
sum(real(loss[r_[in_tie, out_tie]])) / 2,
sum(branch[in_tie, QT]) + sum(branch[out_tie, QF]) -
sum(imag(loss[r_[in_tie, out_tie]])) / 2))
fd.write(
'\n---- ------ ------ -------- ------ ------ ------ ------'
)
fd.write(
'\nTot: %7.1f %7.1f %7.1f %7.2f %7.2f - -' %
(-sum(bus[nzsh, VM]**2 * bus[nzsh, GS]),
sum(bus[nzsh, VM]**2 * bus[nzsh, BS]), sum(fchg) + sum(tchg),
sum(real(loss)), sum(imag(loss))))
fd.write('\n')
## generator data
if OUT_GEN:
if isOPF:
genlamP = bus[e2i[gen[:, GEN_BUS].astype(int)], LAM_P]
genlamQ = bus[e2i[gen[:, GEN_BUS].astype(int)], LAM_Q]
fd.write(
'\n================================================================================'
)
fd.write(
'\n| Generator Data |'
)
fd.write(
'\n================================================================================'
)
fd.write('\n Gen Bus Status Pg Qg ')
if isOPF: fd.write(' Lambda ($/MVA-hr)')
fd.write('\n # # (MW) (MVAr) ')
if isOPF: fd.write(' P Q ')
fd.write('\n---- ----- ------ -------- --------')
if isOPF: fd.write(' -------- --------')
for k in range(len(ong)):
i = ong[k]
fd.write('\n%3d %6d %2d ' %
(i, gen[i, GEN_BUS], gen[i, GEN_STATUS]))
if (gen[i, GEN_STATUS] > 0) & logical_or(gen[i, PG], gen[i, QG]):
fd.write('%10.2f%10.2f' % (gen[i, PG], gen[i, QG]))
else:
fd.write(' - - ')
if isOPF: fd.write('%10.2f%10.2f' % (genlamP[i], genlamQ[i]))
fd.write('\n -------- --------')
fd.write('\n Total: %9.2f%10.2f' %
(sum(gen[ong, PG]), sum(gen[ong, QG])))
fd.write('\n')
if any(onld + 1):
fd.write(
'\n================================================================================'
)
fd.write(
'\n| Dispatchable Load Data |'
)
fd.write(
'\n================================================================================'
)
fd.write('\n Gen Bus Status Pd Qd ')
if isOPF: fd.write(' Lambda ($/MVA-hr)')
fd.write('\n # # (MW) (MVAr) ')
if isOPF: fd.write(' P Q ')
fd.write('\n---- ----- ------ -------- --------')
if isOPF: fd.write(' -------- --------')
for k in range(len(onld)):
i = onld[k]
fd.write('\n%3d %6d %2d ' %
(i, gen[i, GEN_BUS], gen[i, GEN_STATUS]))
if (gen[i, GEN_STATUS] > 0) & logical_or(
gen[i, PG], gen[i, QG]):
fd.write('%10.2f%10.2f' % (-gen[i, PG], -gen[i, QG]))
else:
fd.write(' - - ')
if isOPF: fd.write('%10.2f%10.2f' % (genlamP[i], genlamQ[i]))
fd.write('\n -------- --------')
fd.write('\n Total: %9.2f%10.2f' %
(-sum(gen[onld, PG]), -sum(gen[onld, QG])))
fd.write('\n')
## bus data
if OUT_BUS:
fd.write(
'\n================================================================================'
)
fd.write(
'\n| Bus Data |'
)
fd.write(
'\n================================================================================'
)
fd.write(
'\n Bus Voltage Generation Load ')
if isOPF: fd.write(' Lambda($/MVA-hr)')
fd.write(
'\n # Mag(pu) Ang(deg) P (MW) Q (MVAr) P (MW) Q (MVAr)')
if isOPF: fd.write(' P Q ')
fd.write(
'\n----- ------- -------- -------- -------- -------- --------')
if isOPF: fd.write(' ------- -------')
for i in range(nb):
fd.write('\n%5d%7.3f%9.3f' % tuple(bus[i, [BUS_I, VM, VA]]))
if bus[i, BUS_TYPE] == REF:
fd.write('*')
else:
fd.write(' ')
g = find((gen[:, GEN_STATUS] > 0)
& (gen[:, GEN_BUS] == bus[i, BUS_I]) & ~isload(gen))
ld = find((gen[:, GEN_STATUS] > 0)
& (gen[:, GEN_BUS] == bus[i, BUS_I]) & isload(gen))
if any(g + 1):
fd.write('%9.2f%10.2f' % (sum(gen[g, PG]), sum(gen[g, QG])))
else:
fd.write(' - - ')
if logical_or(bus[i, PD], bus[i, QD]) | any(ld + 1):
if any(ld + 1):
fd.write('%10.2f*%9.2f*' % (bus[i, PD] - sum(gen[ld, PG]),
bus[i, QD] - sum(gen[ld, QG])))
else:
fd.write('%10.2f%10.2f ' % tuple(bus[i, [PD, QD]]))
else:
fd.write(' - - ')
if isOPF:
fd.write('%9.3f' % bus[i, LAM_P])
if abs(bus[i, LAM_Q]) > ptol:
fd.write('%8.3f' % bus[i, LAM_Q])
else:
fd.write(' -')
fd.write(
'\n -------- -------- -------- --------')
fd.write('\n Total: %9.2f %9.2f %9.2f %9.2f' %
(sum(gen[ong, PG]), sum(gen[ong, QG]), sum(bus[nzld, PD]) -
sum(gen[onld, PG]), sum(bus[nzld, QD]) - sum(gen[onld, QG])))
fd.write('\n')
## branch data
if OUT_BRANCH:
fd.write(
'\n================================================================================'
)
fd.write(
'\n| Branch Data |'
)
fd.write(
'\n================================================================================'
)
fd.write(
'\nBrnch From To From Bus Injection To Bus Injection Loss (I^2 * Z) '
)
fd.write(
'\n # Bus Bus P (MW) Q (MVAr) P (MW) Q (MVAr) P (MW) Q (MVAr)'
)
fd.write(
'\n----- ----- ----- -------- -------- -------- -------- -------- --------'
)
for i in range(nl):
fd.write(
'\n%4d%7d%7d%10.2f%10.2f%10.2f%10.2f%10.3f%10.2f' %
(i, branch[i, F_BUS].real, branch[i, T_BUS].real,
branch[i, PF].real, branch[i, QF].real, branch[i, PT].real,
branch[i, QT].real, loss[i].real, loss[i].imag))
fd.write(
'\n -------- --------'
)
fd.write(
'\n Total:%10.3f%10.2f'
% (sum(real(loss)), sum(imag(loss))))
fd.write('\n')
##----- constraint data -----
if isOPF:
ctol = ppopt['OPF_VIOLATION'] ## constraint violation tolerance
## voltage constraints
if (not isDC) & (
OUT_V_LIM == 2 |
(OUT_V_LIM == 1 &
(any(bus[:, VM] < bus[:, VMIN] + ctol)
| any(bus[:, VM] > bus[:, VMAX] - ctol)
| any(bus[:, MU_VMIN] > ptol) | any(bus[:, MU_VMAX] > ptol)))):
fd.write(
'\n================================================================================'
)
fd.write(
'\n| Voltage Constraints |'
)
fd.write(
'\n================================================================================'
)
fd.write('\nBus # Vmin mu Vmin |V| Vmax Vmax mu')
fd.write('\n----- -------- ----- ----- ----- --------')
for i in range(nb):
if (OUT_V_LIM == 2) | (OUT_V_LIM == 1 &
((bus[i, VM] < bus[i, VMIN] + ctol) |
(bus[i, VM] > bus[i, VMAX] - ctol) |
(bus[i, MU_VMIN] > ptol) |
(bus[i, MU_VMAX] > ptol))):
fd.write('\n%5d' % bus[i, BUS_I])
if ((bus[i, VM] < bus[i, VMIN] + ctol) |
(bus[i, MU_VMIN] > ptol)):
fd.write('%10.3f' % bus[i, MU_VMIN])
else:
fd.write(' - ')
fd.write('%8.3f%7.3f%7.3f' %
tuple(bus[i, [VMIN, VM, VMAX]]))
if (bus[i, VM] > bus[i, VMAX] - ctol) | (bus[i, MU_VMAX] >
ptol):
fd.write('%10.3f' % bus[i, MU_VMAX])
else:
fd.write(' - ')
fd.write('\n')
## generator P constraints
if (OUT_PG_LIM == 2) | \
((OUT_PG_LIM == 1) & (any(gen[ong, PG] < gen[ong, PMIN] + ctol) |
any(gen[ong, PG] > gen[ong, PMAX] - ctol) |
any(gen[ong, MU_PMIN] > ptol) |
any(gen[ong, MU_PMAX] > ptol))) | \
((not isDC) & ((OUT_QG_LIM == 2) |
((OUT_QG_LIM == 1) & (any(gen[ong, QG] < gen[ong, QMIN] + ctol) |
any(gen[ong, QG] > gen[ong, QMAX] - ctol) |
any(gen[ong, MU_QMIN] > ptol) |
any(gen[ong, MU_QMAX] > ptol))))):
fd.write(
'\n================================================================================'
)
fd.write(
'\n| Generation Constraints |'
)
fd.write(
'\n================================================================================'
)
if (OUT_PG_LIM == 2) | (
(OUT_PG_LIM == 1) &
(any(gen[ong, PG] < gen[ong, PMIN] + ctol)
| any(gen[ong, PG] > gen[ong, PMAX] - ctol)
| any(gen[ong, MU_PMIN] > ptol) | any(gen[ong, MU_PMAX] > ptol))):
fd.write('\n Gen Bus Active Power Limits')
fd.write(
'\n # # Pmin mu Pmin Pg Pmax Pmax mu'
)
fd.write(
'\n---- ----- ------- -------- -------- -------- -------'
)
for k in range(len(ong)):
i = ong[k]
if (OUT_PG_LIM == 2) | ((OUT_PG_LIM == 1) &
((gen[i, PG] < gen[i, PMIN] + ctol) |
(gen[i, PG] > gen[i, PMAX] - ctol) |
(gen[i, MU_PMIN] > ptol) |
(gen[i, MU_PMAX] > ptol))):
fd.write('\n%4d%6d ' % (i, gen[i, GEN_BUS]))
if (gen[i, PG] < gen[i, PMIN] + ctol) | (gen[i, MU_PMIN] >
ptol):
fd.write('%8.3f' % gen[i, MU_PMIN])
else:
fd.write(' - ')
if gen[i, PG]:
fd.write('%10.2f%10.2f%10.2f' %
tuple(gen[i, [PMIN, PG, PMAX]]))
else:
fd.write('%10.2f - %10.2f' %
tuple(gen[i, [PMIN, PMAX]]))
if (gen[i, PG] > gen[i, PMAX] - ctol) | (gen[i, MU_PMAX] >
ptol):
fd.write('%9.3f' % gen[i, MU_PMAX])
else:
fd.write(' - ')
fd.write('\n')
## generator Q constraints
if (not isDC) & ((OUT_QG_LIM == 2) | (
(OUT_QG_LIM == 1) &
(any(gen[ong, QG] < gen[ong, QMIN] + ctol)
| any(gen[ong, QG] > gen[ong, QMAX] - ctol) |
any(gen[ong, MU_QMIN] > ptol) | any(gen[ong, MU_QMAX] > ptol)))):
fd.write('\nGen Bus Reactive Power Limits')
fd.write(
'\n # # Qmin mu Qmin Qg Qmax Qmax mu')
fd.write(
'\n--- --- ------- -------- -------- -------- -------')
for k in range(len(ong)):
i = ong[k]
if (OUT_QG_LIM == 2) | ((OUT_QG_LIM == 1) &
((gen[i, QG] < gen[i, QMIN] + ctol) |
(gen[i, QG] > gen[i, QMAX] - ctol) |
(gen[i, MU_QMIN] > ptol) |
(gen[i, MU_QMAX] > ptol))):
fd.write('\n%3d%5d' % (i, gen[i, GEN_BUS]))
if (gen[i, QG] < gen[i, QMIN] + ctol) | (gen[i, MU_QMIN] >
ptol):
fd.write('%8.3f' % gen[i, MU_QMIN])
else:
fd.write(' - ')
if gen[i, QG]:
fd.write('%10.2f%10.2f%10.2f' %
tuple(gen[i, [QMIN, QG, QMAX]]))
else:
fd.write('%10.2f - %10.2f' %
tuple(gen[i, [QMIN, QMAX]]))
if (gen[i, QG] > gen[i, QMAX] - ctol) | (gen[i, MU_QMAX] >
ptol):
fd.write('%9.3f' % gen[i, MU_QMAX])
else:
fd.write(' - ')
fd.write('\n')
## dispatchable load P constraints
if (OUT_PG_LIM == 2) | (OUT_QG_LIM == 2) | \
((OUT_PG_LIM == 1) & (any(gen[onld, PG] < gen[onld, PMIN] + ctol) |
any(gen[onld, PG] > gen[onld, PMAX] - ctol) |
any(gen[onld, MU_PMIN] > ptol) |
any(gen[onld, MU_PMAX] > ptol))) | \
((OUT_QG_LIM == 1) & (any(gen[onld, QG] < gen[onld, QMIN] + ctol) |
any(gen[onld, QG] > gen[onld, QMAX] - ctol) |
any(gen[onld, MU_QMIN] > ptol) |
any(gen[onld, MU_QMAX] > ptol))):
fd.write(
'\n================================================================================'
)
fd.write(
'\n| Dispatchable Load Constraints |'
)
fd.write(
'\n================================================================================'
)
if (OUT_PG_LIM == 2) | (
(OUT_PG_LIM == 1) &
(any(gen[onld, PG] < gen[onld, PMIN] + ctol)
| any(gen[onld, PG] > gen[onld, PMAX] - ctol) |
any(gen[onld, MU_PMIN] > ptol) | any(gen[onld, MU_PMAX] > ptol))):
fd.write('\nGen Bus Active Power Limits')
fd.write(
'\n # # Pmin mu Pmin Pg Pmax Pmax mu')
fd.write(
'\n--- --- ------- -------- -------- -------- -------')
for k in range(len(onld)):
i = onld[k]
if (OUT_PG_LIM == 2) | ((OUT_PG_LIM == 1) &
((gen[i, PG] < gen[i, PMIN] + ctol) |
(gen[i, PG] > gen[i, PMAX] - ctol) |
(gen[i, MU_PMIN] > ptol) |
(gen[i, MU_PMAX] > ptol))):
fd.write('\n%3d%5d' % (i, gen[i, GEN_BUS]))
if (gen[i, PG] < gen[i, PMIN] + ctol) | (gen[i, MU_PMIN] >
ptol):
fd.write('%8.3f' % gen[i, MU_PMIN])
else:
fd.write(' - ')
if gen[i, PG]:
fd.write('%10.2f%10.2f%10.2f' %
gen[i, [PMIN, PG, PMAX]])
else:
fd.write('%10.2f - %10.2f' %
gen[i, [PMIN, PMAX]])
if (gen[i, PG] > gen[i, PMAX] - ctol) | (gen[i, MU_PMAX] >
ptol):
fd.write('%9.3f' % gen[i, MU_PMAX])
else:
fd.write(' - ')
fd.write('\n')
## dispatchable load Q constraints
if (not isDC) & ((OUT_QG_LIM == 2) |
((OUT_QG_LIM == 1) &
(any(gen[onld, QG] < gen[onld, QMIN] + ctol)
| any(gen[onld, QG] > gen[onld, QMAX] - ctol)
| any(gen[onld, MU_QMIN] > ptol)
| any(gen[onld, MU_QMAX] > ptol)))):
fd.write('\nGen Bus Reactive Power Limits')
fd.write(
'\n # # Qmin mu Qmin Qg Qmax Qmax mu')
fd.write(
'\n--- --- ------- -------- -------- -------- -------')
for k in range(len(onld)):
i = onld[k]
if (OUT_QG_LIM == 2) | ((OUT_QG_LIM == 1) &
((gen[i, QG] < gen[i, QMIN] + ctol) |
(gen[i, QG] > gen[i, QMAX] - ctol) |
(gen[i, MU_QMIN] > ptol) |
(gen[i, MU_QMAX] > ptol))):
fd.write('\n%3d%5d' % (i, gen(i, GEN_BUS)))
if (gen[i, QG] < gen[i, QMIN] + ctol) | (gen[i, MU_QMIN] >
ptol):
fd.write('%8.3f' % gen[i, MU_QMIN])
else:
fd.write(' - ')
if gen[i, QG]:
fd.write('%10.2f%10.2f%10.2f' %
gen[i, [QMIN, QG, QMAX]])
else:
fd.write('%10.2f - %10.2f' %
gen[i, [QMIN, QMAX]])
if (gen[i, QG] > gen[i, QMAX] - ctol) | (gen[i, MU_QMAX] >
ptol):
fd.write('%9.3f' % gen[i, MU_QMAX])
else:
fd.write(' - ')
fd.write('\n')
## line flow constraints
if (ppopt['OPF_FLOW_LIM'] == 1) | isDC: ## P limit
Ff = branch[:, PF]
Ft = branch[:, PT]
strg = '\n # Bus Pf mu Pf |Pmax| Pt Pt mu Bus'
elif ppopt['OPF_FLOW_LIM'] == 2: ## |I| limit
Ff = abs((branch[:, PF] + 1j * branch[:, QF]) /
V[e2i[branch[:, F_BUS].astype(int)]])
Ft = abs((branch[:, PT] + 1j * branch[:, QT]) /
V[e2i[branch[:, T_BUS].astype(int)]])
strg = '\n # Bus |If| mu |If| |Imax| |It| |It| mu Bus'
else: ## |S| limit
Ff = abs(branch[:, PF] + 1j * branch[:, QF])
Ft = abs(branch[:, PT] + 1j * branch[:, QT])
strg = '\n # Bus |Sf| mu |Sf| |Smax| |St| |St| mu Bus'
if (OUT_LINE_LIM == 2) | (
(OUT_LINE_LIM == 1) &
(any((branch[:, RATE_A] != 0) &
(abs(Ff) > branch[:, RATE_A] - ctol)) | any(
(branch[:, RATE_A] != 0) &
(abs(Ft) > branch[:, RATE_A] - ctol))
| any(branch[:, MU_SF] > ptol) | any(branch[:, MU_ST] > ptol))):
fd.write(
'\n================================================================================'
)
fd.write(
'\n| Branch Flow Constraints |'
)
fd.write(
'\n================================================================================'
)
fd.write(
'\nBrnch From "From" End Limit "To" End To'
)
fd.write(strg)
fd.write(
'\n----- ----- ------- -------- -------- -------- ------- -----'
)
for i in range(nl):
if (OUT_LINE_LIM == 2) | ((OUT_LINE_LIM == 1) & (
((branch[i, RATE_A] != 0) &
(abs(Ff[i]) > branch[i, RATE_A] - ctol)) |
((branch[i, RATE_A] != 0) &
(abs(Ft[i]) > branch[i, RATE_A] - ctol)) |
(branch[i, MU_SF] > ptol) | (branch[i, MU_ST] > ptol))):
fd.write('\n%4d%7d' % (i, branch[i, F_BUS]))
if (Ff[i] > branch[i, RATE_A] - ctol) | (branch[i, MU_SF] >
ptol):
fd.write('%10.3f' % branch[i, MU_SF])
else:
fd.write(' - ')
fd.write('%9.2f%10.2f%10.2f' %
(Ff[i], branch[i, RATE_A], Ft[i]))
if (Ft[i] > branch[i, RATE_A] - ctol) | (branch[i, MU_ST] >
ptol):
fd.write('%10.3f' % branch[i, MU_ST])
else:
fd.write(' - ')
fd.write('%6d' % branch[i, T_BUS])
fd.write('\n')
## execute userfcn callbacks for 'printpf' stage
if have_results_struct and 'userfcn' in results:
if not isOPF: ## turn off option for all constraints if it isn't an OPF
ppopt = ppoption(ppopt, 'OUT_ALL_LIM', 0)
run_userfcn(results["userfcn"], 'printpf', results, fd, ppopt)
def printpf(baseMVA, bus=None, gen=None, branch=None, f=None, success=None,
et=None, fd=None, ppopt=None):
"""Prints power flow results.
Prints power flow and optimal power flow results to C{fd} (a file
descriptor which defaults to C{stdout}), with the details of what
gets printed controlled by the optional C{ppopt} argument, which is a
PYPOWER options vector (see L{ppoption} for details).
The data can either be supplied in a single C{results} dict, or
in the individual arguments: C{baseMVA}, C{bus}, C{gen}, C{branch}, C{f},
C{success} and C{et}, where C{f} is the OPF objective function value,
C{success} is C{True} if the solution converged and C{False} otherwise,
and C{et} is the elapsed time for the computation in seconds. If C{f} is
given, it is assumed that the output is from an OPF run, otherwise it is
assumed to be a simple power flow run.
Examples::
ppopt = ppoptions(OUT_GEN=1, OUT_BUS=0, OUT_BRANCH=0)
fd = open(fname, 'w+b')
results = runopf(ppc)
printpf(results)
printpf(results, fd)
printpf(results, fd, ppopt)
printpf(baseMVA, bus, gen, branch, f, success, et)
printpf(baseMVA, bus, gen, branch, f, success, et, fd)
printpf(baseMVA, bus, gen, branch, f, success, et, fd, ppopt)
fd.close()
@author: Ray Zimmerman (PSERC Cornell)
"""
##----- initialization -----
## default arguments
if isinstance(baseMVA, dict):
have_results_struct = 1
results = baseMVA
if gen is None:
ppopt = ppoption() ## use default options
else:
ppopt = gen
if (ppopt['OUT_ALL'] == 0):
return ## nothin' to see here, bail out now
if bus is None:
fd = stdout ## print to stdout by default
else:
fd = bus
baseMVA, bus, gen, branch, success, et = \
results["baseMVA"], results["bus"], results["gen"], \
results["branch"], results["success"], results["et"]
if 'f' in results:
f = results["f"]
else:
f = None
else:
have_results_struct = 0
if ppopt is None:
ppopt = ppoption() ## use default options
if fd is None:
fd = stdout ## print to stdout by default
if ppopt['OUT_ALL'] == 0:
return ## nothin' to see here, bail out now
isOPF = f is not None ## FALSE -> only simple PF data, TRUE -> OPF data
## options
isDC = ppopt['PF_DC'] ## use DC formulation?
OUT_ALL = ppopt['OUT_ALL']
OUT_ANY = OUT_ALL == 1 ## set to true if any pretty output is to be generated
OUT_SYS_SUM = (OUT_ALL == 1) or ((OUT_ALL == -1) and ppopt['OUT_SYS_SUM'])
OUT_AREA_SUM = (OUT_ALL == 1) or ((OUT_ALL == -1) and ppopt['OUT_AREA_SUM'])
OUT_BUS = (OUT_ALL == 1) or ((OUT_ALL == -1) and ppopt['OUT_BUS'])
OUT_BRANCH = (OUT_ALL == 1) or ((OUT_ALL == -1) and ppopt['OUT_BRANCH'])
OUT_GEN = (OUT_ALL == 1) or ((OUT_ALL == -1) and ppopt['OUT_GEN'])
OUT_ANY = OUT_ANY | ((OUT_ALL == -1) and
(OUT_SYS_SUM or OUT_AREA_SUM or OUT_BUS or
OUT_BRANCH or OUT_GEN))
if OUT_ALL == -1:
OUT_ALL_LIM = ppopt['OUT_ALL_LIM']
elif OUT_ALL == 1:
OUT_ALL_LIM = 2
else:
OUT_ALL_LIM = 0
OUT_ANY = OUT_ANY or (OUT_ALL_LIM >= 1)
if OUT_ALL_LIM == -1:
OUT_V_LIM = ppopt['OUT_V_LIM']
OUT_LINE_LIM = ppopt['OUT_LINE_LIM']
OUT_PG_LIM = ppopt['OUT_PG_LIM']
OUT_QG_LIM = ppopt['OUT_QG_LIM']
else:
OUT_V_LIM = OUT_ALL_LIM
OUT_LINE_LIM = OUT_ALL_LIM
OUT_PG_LIM = OUT_ALL_LIM
OUT_QG_LIM = OUT_ALL_LIM
OUT_ANY = OUT_ANY or ((OUT_ALL_LIM == -1) and (OUT_V_LIM or OUT_LINE_LIM or OUT_PG_LIM or OUT_QG_LIM))
ptol = 1e-4 ## tolerance for displaying shadow prices
## create map of external bus numbers to bus indices
i2e = bus[:, BUS_I].astype(int)
e2i = zeros(max(i2e) + 1, int)
e2i[i2e] = arange(bus.shape[0])
## sizes of things
nb = bus.shape[0] ## number of buses
nl = branch.shape[0] ## number of branches
ng = gen.shape[0] ## number of generators
## zero out some data to make printout consistent for DC case
if isDC:
bus[:, r_[QD, BS]] = zeros((nb, 2))
gen[:, r_[QG, QMAX, QMIN]] = zeros((ng, 3))
branch[:, r_[BR_R, BR_B]] = zeros((nl, 2))
## parameters
ties = find(bus[e2i[branch[:, F_BUS].astype(int)], BUS_AREA] !=
bus[e2i[branch[:, T_BUS].astype(int)], BUS_AREA])
## area inter-ties
tap = ones(nl) ## default tap ratio = 1 for lines
xfmr = find(branch[:, TAP]) ## indices of transformers
tap[xfmr] = branch[xfmr, TAP] ## include transformer tap ratios
tap = tap * exp(1j * pi / 180 * branch[:, SHIFT]) ## add phase shifters
nzld = find((bus[:, PD] != 0.0) | (bus[:, QD] != 0.0))
sorted_areas = sort(bus[:, BUS_AREA])
## area numbers
s_areas = sorted_areas[r_[1, find(diff(sorted_areas)) + 1]]
nzsh = find((bus[:, GS] != 0.0) | (bus[:, BS] != 0.0))
allg = find( ~isload(gen) )
ong = find( (gen[:, GEN_STATUS] > 0) & ~isload(gen) )
onld = find( (gen[:, GEN_STATUS] > 0) & isload(gen) )
V = bus[:, VM] * exp(-1j * pi / 180 * bus[:, VA])
out = find(branch[:, BR_STATUS] == 0) ## out-of-service branches
nout = len(out)
if isDC:
loss = zeros(nl)
else:
loss = baseMVA * abs(V[e2i[ branch[:, F_BUS].astype(int) ]] / tap -
V[e2i[ branch[:, T_BUS].astype(int) ]])**2 / \
(branch[:, BR_R] - 1j * branch[:, BR_X])
fchg = abs(V[e2i[ branch[:, F_BUS].astype(int) ]] / tap)**2 * branch[:, BR_B] * baseMVA / 2
tchg = abs(V[e2i[ branch[:, T_BUS].astype(int) ]] )**2 * branch[:, BR_B] * baseMVA / 2
loss[out] = zeros(nout)
fchg[out] = zeros(nout)
tchg[out] = zeros(nout)
##----- print the stuff -----
if OUT_ANY:
## convergence & elapsed time
if success:
fd.write('\nConverged in %.2f seconds' % et)
else:
fd.write('\nDid not converge (%.2f seconds)\n' % et)
## objective function value
if isOPF:
fd.write('\nObjective Function Value = %.2f $/hr' % f)
if OUT_SYS_SUM:
fd.write('\n================================================================================')
fd.write('\n| System Summary |')
fd.write('\n================================================================================')
fd.write('\n\nHow many? How much? P (MW) Q (MVAr)')
fd.write('\n--------------------- ------------------- ------------- -----------------')
fd.write('\nBuses %6d Total Gen Capacity %7.1f %7.1f to %.1f' % (nb, sum(gen[allg, PMAX]), sum(gen[allg, QMIN]), sum(gen[allg, QMAX])))
fd.write('\nGenerators %5d On-line Capacity %7.1f %7.1f to %.1f' % (len(allg), sum(gen[ong, PMAX]), sum(gen[ong, QMIN]), sum(gen[ong, QMAX])))
fd.write('\nCommitted Gens %5d Generation (actual) %7.1f %7.1f' % (len(ong), sum(gen[ong, PG]), sum(gen[ong, QG])))
fd.write('\nLoads %5d Load %7.1f %7.1f' % (len(nzld)+len(onld), sum(bus[nzld, PD])-sum(gen[onld, PG]), sum(bus[nzld, QD])-sum(gen[onld, QG])))
fd.write('\n Fixed %5d Fixed %7.1f %7.1f' % (len(nzld), sum(bus[nzld, PD]), sum(bus[nzld, QD])))
fd.write('\n Dispatchable %5d Dispatchable %7.1f of %-7.1f%7.1f' % (len(onld), -sum(gen[onld, PG]), -sum(gen[onld, PMIN]), -sum(gen[onld, QG])))
fd.write('\nShunts %5d Shunt (inj) %7.1f %7.1f' % (len(nzsh),
-sum(bus[nzsh, VM]**2 * bus[nzsh, GS]), sum(bus[nzsh, VM]**2 * bus[nzsh, BS]) ))
fd.write('\nBranches %5d Losses (I^2 * Z) %8.2f %8.2f' % (nl, sum(loss.real), sum(loss.imag) ))
fd.write('\nTransformers %5d Branch Charging (inj) - %7.1f' % (len(xfmr), sum(fchg) + sum(tchg) ))
fd.write('\nInter-ties %5d Total Inter-tie Flow %7.1f %7.1f' % (len(ties), sum(abs(branch[ties, PF]-branch[ties, PT])) / 2, sum(abs(branch[ties, QF]-branch[ties, QT])) / 2))
fd.write('\nAreas %5d' % len(s_areas))
fd.write('\n')
fd.write('\n Minimum Maximum')
fd.write('\n ------------------------- --------------------------------')
minv = min(bus[:, VM])
mini = argmin(bus[:, VM])
maxv = max(bus[:, VM])
maxi = argmax(bus[:, VM])
fd.write('\nVoltage Magnitude %7.3f p.u. @ bus %-4d %7.3f p.u. @ bus %-4d' % (minv, bus[mini, BUS_I], maxv, bus[maxi, BUS_I]))
minv = min(bus[:, VA])
mini = argmin(bus[:, VA])
maxv = max(bus[:, VA])
maxi = argmax(bus[:, VA])
fd.write('\nVoltage Angle %8.2f deg @ bus %-4d %8.2f deg @ bus %-4d' % (minv, bus[mini, BUS_I], maxv, bus[maxi, BUS_I]))
if not isDC:
maxv = max(loss.real)
maxi = argmax(loss.real)
fd.write('\nP Losses (I^2*R) - %8.2f MW @ line %d-%d' % (maxv, branch[maxi, F_BUS], branch[maxi, T_BUS]))
maxv = max(loss.imag)
maxi = argmax(loss.imag)
fd.write('\nQ Losses (I^2*X) - %8.2f MVAr @ line %d-%d' % (maxv, branch[maxi, F_BUS], branch[maxi, T_BUS]))
if isOPF:
minv = min(bus[:, LAM_P])
mini = argmin(bus[:, LAM_P])
maxv = max(bus[:, LAM_P])
maxi = argmax(bus[:, LAM_P])
fd.write('\nLambda P %8.2f $/MWh @ bus %-4d %8.2f $/MWh @ bus %-4d' % (minv, bus[mini, BUS_I], maxv, bus[maxi, BUS_I]))
minv = min(bus[:, LAM_Q])
mini = argmin(bus[:, LAM_Q])
maxv = max(bus[:, LAM_Q])
maxi = argmax(bus[:, LAM_Q])
fd.write('\nLambda Q %8.2f $/MWh @ bus %-4d %8.2f $/MWh @ bus %-4d' % (minv, bus[mini, BUS_I], maxv, bus[maxi, BUS_I]))
fd.write('\n')
if OUT_AREA_SUM:
fd.write('\n================================================================================')
fd.write('\n| Area Summary |')
fd.write('\n================================================================================')
fd.write('\nArea # of # of Gens # of Loads # of # of # of # of')
fd.write('\n Num Buses Total Online Total Fixed Disp Shunt Brchs Xfmrs Ties')
fd.write('\n---- ----- ----- ------ ----- ----- ----- ----- ----- ----- -----')
for i in range(len(s_areas)):
a = s_areas[i]
ib = find(bus[:, BUS_AREA] == a)
ig = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a) & ~isload(gen))
igon = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a) & (gen[:, GEN_STATUS] > 0) & ~isload(gen))
ildon = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a) & (gen[:, GEN_STATUS] > 0) & isload(gen))
inzld = find((bus[:, BUS_AREA] == a) & logical_or(bus[:, PD], bus[:, QD]))
inzsh = find((bus[:, BUS_AREA] == a) & logical_or(bus[:, GS], bus[:, BS]))
ibrch = find((bus[e2i[branch[:, F_BUS].astype(int)], BUS_AREA] == a) & (bus[e2i[branch[:, T_BUS].astype(int)], BUS_AREA] == a))
in_tie = find((bus[e2i[branch[:, F_BUS].astype(int)], BUS_AREA] == a) & (bus[e2i[branch[:, T_BUS].astype(int)], BUS_AREA] != a))
out_tie = find((bus[e2i[branch[:, F_BUS].astype(int)], BUS_AREA] != a) & (bus[e2i[branch[:, T_BUS].astype(int)], BUS_AREA] == a))
if not any(xfmr + 1):
nxfmr = 0
else:
nxfmr = len(find((bus[e2i[branch[xfmr, F_BUS].astype(int)], BUS_AREA] == a) & (bus[e2i[branch[xfmr, T_BUS].astype(int)], BUS_AREA] == a)))
fd.write('\n%3d %6d %5d %5d %5d %5d %5d %5d %5d %5d %5d' %
(a, len(ib), len(ig), len(igon), \
len(inzld)+len(ildon), len(inzld), len(ildon), \
len(inzsh), len(ibrch), nxfmr, len(in_tie)+len(out_tie)))
fd.write('\n---- ----- ----- ------ ----- ----- ----- ----- ----- ----- -----')
fd.write('\nTot: %6d %5d %5d %5d %5d %5d %5d %5d %5d %5d' %
(nb, len(allg), len(ong), len(nzld)+len(onld),
len(nzld), len(onld), len(nzsh), nl, len(xfmr), len(ties)))
fd.write('\n')
fd.write('\nArea Total Gen Capacity On-line Gen Capacity Generation')
fd.write('\n Num MW MVAr MW MVAr MW MVAr')
fd.write('\n---- ------ ------------------ ------ ------------------ ------ ------')
for i in range(len(s_areas)):
a = s_areas[i]
ig = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a) & ~isload(gen))
igon = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a) & (gen[:, GEN_STATUS] > 0) & ~isload(gen))
fd.write('\n%3d %7.1f %7.1f to %-7.1f %7.1f %7.1f to %-7.1f %7.1f %7.1f' %
(a, sum(gen[ig, PMAX]), sum(gen[ig, QMIN]), sum(gen[ig, QMAX]),
sum(gen[igon, PMAX]), sum(gen[igon, QMIN]), sum(gen[igon, QMAX]),
sum(gen[igon, PG]), sum(gen[igon, QG]) ))
fd.write('\n---- ------ ------------------ ------ ------------------ ------ ------')
fd.write('\nTot: %7.1f %7.1f to %-7.1f %7.1f %7.1f to %-7.1f %7.1f %7.1f' %
(sum(gen[allg, PMAX]), sum(gen[allg, QMIN]), sum(gen[allg, QMAX]),
sum(gen[ong, PMAX]), sum(gen[ong, QMIN]), sum(gen[ong, QMAX]),
sum(gen[ong, PG]), sum(gen[ong, QG]) ))
fd.write('\n')
fd.write('\nArea Disp Load Cap Disp Load Fixed Load Total Load')
fd.write('\n Num MW MVAr MW MVAr MW MVAr MW MVAr')
fd.write('\n---- ------ ------ ------ ------ ------ ------ ------ ------')
Qlim = (gen[:, QMIN] == 0) * gen[:, QMAX] + (gen[:, QMAX] == 0) * gen[:, QMIN]
for i in range(len(s_areas)):
a = s_areas[i]
ildon = find((bus[e2i[gen[:, GEN_BUS].astype(int)], BUS_AREA] == a) & (gen[:, GEN_STATUS] > 0) & isload(gen))
inzld = find((bus[:, BUS_AREA] == a) & logical_or(bus[:, PD], bus[:, QD]))
fd.write('\n%3d %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f' %
(a, -sum(gen[ildon, PMIN]),
-sum(Qlim[ildon]),
-sum(gen[ildon, PG]), -sum(gen[ildon, QG]),
sum(bus[inzld, PD]), sum(bus[inzld, QD]),
-sum(gen[ildon, PG]) + sum(bus[inzld, PD]),
-sum(gen[ildon, QG]) + sum(bus[inzld, QD]) ))
fd.write('\n---- ------ ------ ------ ------ ------ ------ ------ ------')
fd.write('\nTot: %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f %7.1f' %
(-sum(gen[onld, PMIN]),
-sum(Qlim[onld]),
-sum(gen[onld, PG]), -sum(gen[onld, QG]),
sum(bus[nzld, PD]), sum(bus[nzld, QD]),
-sum(gen[onld, PG]) + sum(bus[nzld, PD]),
-sum(gen[onld, QG]) + sum(bus[nzld, QD])) )
fd.write('\n')
fd.write('\nArea Shunt Inj Branch Series Losses Net Export')
fd.write('\n Num MW MVAr Charging MW MVAr MW MVAr')
fd.write('\n---- ------ ------ -------- ------ ------ ------ ------')
for i in range(len(s_areas)):
a = s_areas[i]
inzsh = find((bus[:, BUS_AREA] == a) & logical_or(bus[:, GS], bus[:, BS]))
ibrch = find((bus[e2i[branch[:, F_BUS].astype(int)], BUS_AREA] == a) & (bus[e2i[branch[:, T_BUS].astype(int)], BUS_AREA] == a) & branch[:, BR_STATUS].astype(bool))
in_tie = find((bus[e2i[branch[:, F_BUS].astype(int)], BUS_AREA] != a) & (bus[e2i[branch[:, T_BUS].astype(int)], BUS_AREA] == a) & branch[:, BR_STATUS].astype(bool))
out_tie = find((bus[e2i[branch[:, F_BUS].astype(int)], BUS_AREA] == a) & (bus[e2i[branch[:, T_BUS].astype(int)], BUS_AREA] != a) & branch[:, BR_STATUS].astype(bool))
fd.write('\n%3d %7.1f %7.1f %7.1f %7.2f %7.2f %7.1f %7.1f' %
(a, -sum(bus[inzsh, VM]**2 * bus[inzsh, GS]),
sum(bus[inzsh, VM]**2 * bus[inzsh, BS]),
sum(fchg[ibrch]) + sum(tchg[ibrch]) + sum(fchg[out_tie]) + sum(tchg[in_tie]),
sum(real(loss[ibrch])) + sum(real(loss[r_[in_tie, out_tie]])) / 2,
sum(imag(loss[ibrch])) + sum(imag(loss[r_[in_tie, out_tie]])) / 2,
sum(branch[in_tie, PT])+sum(branch[out_tie, PF]) - sum(real(loss[r_[in_tie, out_tie]])) / 2,
sum(branch[in_tie, QT])+sum(branch[out_tie, QF]) - sum(imag(loss[r_[in_tie, out_tie]])) / 2 ))
fd.write('\n---- ------ ------ -------- ------ ------ ------ ------')
fd.write('\nTot: %7.1f %7.1f %7.1f %7.2f %7.2f - -' %
(-sum(bus[nzsh, VM]**2 * bus[nzsh, GS]),
sum(bus[nzsh, VM]**2 * bus[nzsh, BS]),
sum(fchg) + sum(tchg), sum(real(loss)), sum(imag(loss)) ))
fd.write('\n')
## generator data
if OUT_GEN:
if isOPF:
genlamP = bus[e2i[gen[:, GEN_BUS].astype(int)], LAM_P]
genlamQ = bus[e2i[gen[:, GEN_BUS].astype(int)], LAM_Q]
fd.write('\n================================================================================')
fd.write('\n| Generator Data |')
fd.write('\n================================================================================')
fd.write('\n Gen Bus Status Pg Qg ')
if isOPF: fd.write(' Lambda ($/MVA-hr)')
fd.write('\n # # (MW) (MVAr) ')
if isOPF: fd.write(' P Q ')
fd.write('\n---- ----- ------ -------- --------')
if isOPF: fd.write(' -------- --------')
for k in range(len(ong)):
i = ong[k]
fd.write('\n%3d %6d %2d ' % (i, gen[i, GEN_BUS], gen[i, GEN_STATUS]))
if (gen[i, GEN_STATUS] > 0) & logical_or(gen[i, PG], gen[i, QG]):
fd.write('%10.2f%10.2f' % (gen[i, PG], gen[i, QG]))
else:
fd.write(' - - ')
if isOPF: fd.write('%10.2f%10.2f' % (genlamP[i], genlamQ[i]))
fd.write('\n -------- --------')
fd.write('\n Total: %9.2f%10.2f' % (sum(gen[ong, PG]), sum(gen[ong, QG])))
fd.write('\n')
if any(onld + 1):
fd.write('\n================================================================================')
fd.write('\n| Dispatchable Load Data |')
fd.write('\n================================================================================')
fd.write('\n Gen Bus Status Pd Qd ')
if isOPF: fd.write(' Lambda ($/MVA-hr)')
fd.write('\n # # (MW) (MVAr) ')
if isOPF: fd.write(' P Q ')
fd.write('\n---- ----- ------ -------- --------')
if isOPF: fd.write(' -------- --------')
for k in range(len(onld)):
i = onld[k]
fd.write('\n%3d %6d %2d ' % (i, gen[i, GEN_BUS], gen[i, GEN_STATUS]))
if (gen[i, GEN_STATUS] > 0) & logical_or(gen[i, PG], gen[i, QG]):
fd.write('%10.2f%10.2f' % (-gen[i, PG], -gen[i, QG]))
else:
fd.write(' - - ')
if isOPF: fd.write('%10.2f%10.2f' % (genlamP[i], genlamQ[i]))
fd.write('\n -------- --------')
fd.write('\n Total: %9.2f%10.2f' % (-sum(gen[onld, PG]), -sum(gen[onld, QG])))
fd.write('\n')
## bus data
if OUT_BUS:
fd.write('\n================================================================================')
fd.write('\n| Bus Data |')
fd.write('\n================================================================================')
fd.write('\n Bus Voltage Generation Load ')
if isOPF: fd.write(' Lambda($/MVA-hr)')
fd.write('\n # Mag(pu) Ang(deg) P (MW) Q (MVAr) P (MW) Q (MVAr)')
if isOPF: fd.write(' P Q ')
fd.write('\n----- ------- -------- -------- -------- -------- --------')
if isOPF: fd.write(' ------- -------')
for i in range(nb):
fd.write('\n%5d%7.3f%9.3f' % tuple(bus[i, [BUS_I, VM, VA]]))
if bus[i, BUS_TYPE] == REF:
fd.write('*')
else:
fd.write(' ')
g = find((gen[:, GEN_STATUS] > 0) & (gen[:, GEN_BUS] == bus[i, BUS_I]) &
~isload(gen))
ld = find((gen[:, GEN_STATUS] > 0) & (gen[:, GEN_BUS] == bus[i, BUS_I]) &
isload(gen))
if any(g + 1):
fd.write('%9.2f%10.2f' % (sum(gen[g, PG]), sum(gen[g, QG])))
else:
fd.write(' - - ')
if logical_or(bus[i, PD], bus[i, QD]) | any(ld + 1):
if any(ld + 1):
fd.write('%10.2f*%9.2f*' % (bus[i, PD] - sum(gen[ld, PG]),
bus[i, QD] - sum(gen[ld, QG])))
else:
fd.write('%10.2f%10.2f ' % tuple(bus[i, [PD, QD]]))
else:
fd.write(' - - ')
if isOPF:
fd.write('%9.3f' % bus[i, LAM_P])
if abs(bus[i, LAM_Q]) > ptol:
fd.write('%8.3f' % bus[i, LAM_Q])
else:
fd.write(' -')
fd.write('\n -------- -------- -------- --------')
fd.write('\n Total: %9.2f %9.2f %9.2f %9.2f' %
(sum(gen[ong, PG]), sum(gen[ong, QG]),
sum(bus[nzld, PD]) - sum(gen[onld, PG]),
sum(bus[nzld, QD]) - sum(gen[onld, QG])))
fd.write('\n')
## branch data
if OUT_BRANCH:
fd.write('\n================================================================================')
fd.write('\n| Branch Data |')
fd.write('\n================================================================================')
fd.write('\nBrnch From To From Bus Injection To Bus Injection Loss (I^2 * Z) ')
fd.write('\n # Bus Bus P (MW) Q (MVAr) P (MW) Q (MVAr) P (MW) Q (MVAr)')
fd.write('\n----- ----- ----- -------- -------- -------- -------- -------- --------')
for i in range(nl):
fd.write('\n%4d%7d%7d%10.2f%10.2f%10.2f%10.2f%10.3f%10.2f' %
(i, branch[i, F_BUS], branch[i, T_BUS],
branch[i, PF], branch[i, QF], branch[i, PT], branch[i, QT],
loss[i].real, loss[i].imag))
fd.write('\n -------- --------')
fd.write('\n Total:%10.3f%10.2f' %
(sum(real(loss)), sum(imag(loss))))
fd.write('\n')
##----- constraint data -----
if isOPF:
ctol = ppopt['OPF_VIOLATION'] ## constraint violation tolerance
## voltage constraints
if (not isDC) & (OUT_V_LIM == 2 | (OUT_V_LIM == 1 &
(any(bus[:, VM] < bus[:, VMIN] + ctol) |
any(bus[:, VM] > bus[:, VMAX] - ctol) |
any(bus[:, MU_VMIN] > ptol) |
any(bus[:, MU_VMAX] > ptol)))):
fd.write('\n================================================================================')
fd.write('\n| Voltage Constraints |')
fd.write('\n================================================================================')
fd.write('\nBus # Vmin mu Vmin |V| Vmax Vmax mu')
fd.write('\n----- -------- ----- ----- ----- --------')
for i in range(nb):
if (OUT_V_LIM == 2) | (OUT_V_LIM == 1 &
((bus[i, VM] < bus[i, VMIN] + ctol) |
(bus[i, VM] > bus[i, VMAX] - ctol) |
(bus[i, MU_VMIN] > ptol) |
(bus[i, MU_VMAX] > ptol))):
fd.write('\n%5d' % bus[i, BUS_I])
if ((bus[i, VM] < bus[i, VMIN] + ctol) |
(bus[i, MU_VMIN] > ptol)):
fd.write('%10.3f' % bus[i, MU_VMIN])
else:
fd.write(' - ')
fd.write('%8.3f%7.3f%7.3f' % tuple(bus[i, [VMIN, VM, VMAX]]))
if (bus[i, VM] > bus[i, VMAX] - ctol) | (bus[i, MU_VMAX] > ptol):
fd.write('%10.3f' % bus[i, MU_VMAX])
else:
fd.write(' - ')
fd.write('\n')
## generator P constraints
if (OUT_PG_LIM == 2) | \
((OUT_PG_LIM == 1) & (any(gen[ong, PG] < gen[ong, PMIN] + ctol) |
any(gen[ong, PG] > gen[ong, PMAX] - ctol) |
any(gen[ong, MU_PMIN] > ptol) |
any(gen[ong, MU_PMAX] > ptol))) | \
((not isDC) & ((OUT_QG_LIM == 2) |
((OUT_QG_LIM == 1) & (any(gen[ong, QG] < gen[ong, QMIN] + ctol) |
any(gen[ong, QG] > gen[ong, QMAX] - ctol) |
any(gen[ong, MU_QMIN] > ptol) |
any(gen[ong, MU_QMAX] > ptol))))):
fd.write('\n================================================================================')
fd.write('\n| Generation Constraints |')
fd.write('\n================================================================================')
if (OUT_PG_LIM == 2) | ((OUT_PG_LIM == 1) &
(any(gen[ong, PG] < gen[ong, PMIN] + ctol) |
any(gen[ong, PG] > gen[ong, PMAX] - ctol) |
any(gen[ong, MU_PMIN] > ptol) |
any(gen[ong, MU_PMAX] > ptol))):
fd.write('\n Gen Bus Active Power Limits')
fd.write('\n # # Pmin mu Pmin Pg Pmax Pmax mu')
fd.write('\n---- ----- ------- -------- -------- -------- -------')
for k in range(len(ong)):
i = ong[k]
if (OUT_PG_LIM == 2) | ((OUT_PG_LIM == 1) &
((gen[i, PG] < gen[i, PMIN] + ctol) |
(gen[i, PG] > gen[i, PMAX] - ctol) |
(gen[i, MU_PMIN] > ptol) | (gen[i, MU_PMAX] > ptol))):
fd.write('\n%4d%6d ' % (i, gen[i, GEN_BUS]))
if (gen[i, PG] < gen[i, PMIN] + ctol) | (gen[i, MU_PMIN] > ptol):
fd.write('%8.3f' % gen[i, MU_PMIN])
else:
fd.write(' - ')
if gen[i, PG]:
fd.write('%10.2f%10.2f%10.2f' % tuple(gen[i, [PMIN, PG, PMAX]]))
else:
fd.write('%10.2f - %10.2f' % tuple(gen[i, [PMIN, PMAX]]))
if (gen[i, PG] > gen[i, PMAX] - ctol) | (gen[i, MU_PMAX] > ptol):
fd.write('%9.3f' % gen[i, MU_PMAX])
else:
fd.write(' - ')
fd.write('\n')
## generator Q constraints
if (not isDC) & ((OUT_QG_LIM == 2) | ((OUT_QG_LIM == 1) &
(any(gen[ong, QG] < gen[ong, QMIN] + ctol) |
any(gen[ong, QG] > gen[ong, QMAX] - ctol) |
any(gen[ong, MU_QMIN] > ptol) |
any(gen[ong, MU_QMAX] > ptol)))):
fd.write('\nGen Bus Reactive Power Limits')
fd.write('\n # # Qmin mu Qmin Qg Qmax Qmax mu')
fd.write('\n--- --- ------- -------- -------- -------- -------')
for k in range(len(ong)):
i = ong[k]
if (OUT_QG_LIM == 2) | ((OUT_QG_LIM == 1) &
((gen[i, QG] < gen[i, QMIN] + ctol) |
(gen[i, QG] > gen[i, QMAX] - ctol) |
(gen[i, MU_QMIN] > ptol) |
(gen[i, MU_QMAX] > ptol))):
fd.write('\n%3d%5d' % (i, gen[i, GEN_BUS]))
if (gen[i, QG] < gen[i, QMIN] + ctol) | (gen[i, MU_QMIN] > ptol):
fd.write('%8.3f' % gen[i, MU_QMIN])
else:
fd.write(' - ')
if gen[i, QG]:
fd.write('%10.2f%10.2f%10.2f' % tuple(gen[i, [QMIN, QG, QMAX]]))
else:
fd.write('%10.2f - %10.2f' % tuple(gen[i, [QMIN, QMAX]]))
if (gen[i, QG] > gen[i, QMAX] - ctol) | (gen[i, MU_QMAX] > ptol):
fd.write('%9.3f' % gen[i, MU_QMAX])
else:
fd.write(' - ')
fd.write('\n')
## dispatchable load P constraints
if (OUT_PG_LIM == 2) | (OUT_QG_LIM == 2) | \
((OUT_PG_LIM == 1) & (any(gen[onld, PG] < gen[onld, PMIN] + ctol) |
any(gen[onld, PG] > gen[onld, PMAX] - ctol) |
any(gen[onld, MU_PMIN] > ptol) |
any(gen[onld, MU_PMAX] > ptol))) | \
((OUT_QG_LIM == 1) & (any(gen[onld, QG] < gen[onld, QMIN] + ctol) |
any(gen[onld, QG] > gen[onld, QMAX] - ctol) |
any(gen[onld, MU_QMIN] > ptol) |
any(gen[onld, MU_QMAX] > ptol))):
fd.write('\n================================================================================')
fd.write('\n| Dispatchable Load Constraints |')
fd.write('\n================================================================================')
if (OUT_PG_LIM == 2) | ((OUT_PG_LIM == 1) &
(any(gen[onld, PG] < gen[onld, PMIN] + ctol) |
any(gen[onld, PG] > gen[onld, PMAX] - ctol) |
any(gen[onld, MU_PMIN] > ptol) |
any(gen[onld, MU_PMAX] > ptol))):
fd.write('\nGen Bus Active Power Limits')
fd.write('\n # # Pmin mu Pmin Pg Pmax Pmax mu')
fd.write('\n--- --- ------- -------- -------- -------- -------')
for k in range(len(onld)):
i = onld[k]
if (OUT_PG_LIM == 2) | ((OUT_PG_LIM == 1) &
((gen[i, PG] < gen[i, PMIN] + ctol) |
(gen[i, PG] > gen[i, PMAX] - ctol) |
(gen[i, MU_PMIN] > ptol) |
(gen[i, MU_PMAX] > ptol))):
fd.write('\n%3d%5d' % (i, gen[i, GEN_BUS]))
if (gen[i, PG] < gen[i, PMIN] + ctol) | (gen[i, MU_PMIN] > ptol):
fd.write('%8.3f' % gen[i, MU_PMIN])
else:
fd.write(' - ')
if gen[i, PG]:
fd.write('%10.2f%10.2f%10.2f' % gen[i, [PMIN, PG, PMAX]])
else:
fd.write('%10.2f - %10.2f' % gen[i, [PMIN, PMAX]])
if (gen[i, PG] > gen[i, PMAX] - ctol) | (gen[i, MU_PMAX] > ptol):
fd.write('%9.3f' % gen[i, MU_PMAX])
else:
fd.write(' - ')
fd.write('\n')
## dispatchable load Q constraints
if (not isDC) & ((OUT_QG_LIM == 2) | ((OUT_QG_LIM == 1) &
(any(gen[onld, QG] < gen[onld, QMIN] + ctol) |
any(gen[onld, QG] > gen[onld, QMAX] - ctol) |
any(gen[onld, MU_QMIN] > ptol) |
any(gen[onld, MU_QMAX] > ptol)))):
fd.write('\nGen Bus Reactive Power Limits')
fd.write('\n # # Qmin mu Qmin Qg Qmax Qmax mu')
fd.write('\n--- --- ------- -------- -------- -------- -------')
for k in range(len(onld)):
i = onld[k]
if (OUT_QG_LIM == 2) | ((OUT_QG_LIM == 1) &
((gen[i, QG] < gen[i, QMIN] + ctol) |
(gen[i, QG] > gen[i, QMAX] - ctol) |
(gen[i, MU_QMIN] > ptol) |
(gen[i, MU_QMAX] > ptol))):
fd.write('\n%3d%5d' % (i, gen(i, GEN_BUS)))
if (gen[i, QG] < gen[i, QMIN] + ctol) | (gen[i, MU_QMIN] > ptol):
fd.write('%8.3f' % gen[i, MU_QMIN])
else:
fd.write(' - ')
if gen[i, QG]:
fd.write('%10.2f%10.2f%10.2f' % gen[i, [QMIN, QG, QMAX]])
else:
fd.write('%10.2f - %10.2f' % gen[i, [QMIN, QMAX]])
if (gen[i, QG] > gen[i, QMAX] - ctol) | (gen[i, MU_QMAX] > ptol):
fd.write('%9.3f' % gen[i, MU_QMAX])
else:
fd.write(' - ')
fd.write('\n')
## line flow constraints
if (ppopt['OPF_FLOW_LIM'] == 1) | isDC: ## P limit
Ff = branch[:, PF]
Ft = branch[:, PT]
strg = '\n # Bus Pf mu Pf |Pmax| Pt Pt mu Bus'
elif ppopt['OPF_FLOW_LIM'] == 2: ## |I| limit
Ff = abs( (branch[:, PF] + 1j * branch[:, QF]) / V[e2i[branch[:, F_BUS].astype(int)]] )
Ft = abs( (branch[:, PT] + 1j * branch[:, QT]) / V[e2i[branch[:, T_BUS].astype(int)]] )
strg = '\n # Bus |If| mu |If| |Imax| |It| |It| mu Bus'
else: ## |S| limit
Ff = abs(branch[:, PF] + 1j * branch[:, QF])
Ft = abs(branch[:, PT] + 1j * branch[:, QT])
strg = '\n # Bus |Sf| mu |Sf| |Smax| |St| |St| mu Bus'
if (OUT_LINE_LIM == 2) | ((OUT_LINE_LIM == 1) &
(any((branch[:, RATE_A] != 0) & (abs(Ff) > branch[:, RATE_A] - ctol)) |
any((branch[:, RATE_A] != 0) & (abs(Ft) > branch[:, RATE_A] - ctol)) |
any(branch[:, MU_SF] > ptol) |
any(branch[:, MU_ST] > ptol))):
fd.write('\n================================================================================')
fd.write('\n| Branch Flow Constraints |')
fd.write('\n================================================================================')
fd.write('\nBrnch From "From" End Limit "To" End To')
fd.write(strg)
fd.write('\n----- ----- ------- -------- -------- -------- ------- -----')
for i in range(nl):
if (OUT_LINE_LIM == 2) | ((OUT_LINE_LIM == 1) &
(((branch[i, RATE_A] != 0) & (abs(Ff[i]) > branch[i, RATE_A] - ctol)) |
((branch[i, RATE_A] != 0) & (abs(Ft[i]) > branch[i, RATE_A] - ctol)) |
(branch[i, MU_SF] > ptol) | (branch[i, MU_ST] > ptol))):
fd.write('\n%4d%7d' % (i, branch[i, F_BUS]))
if (Ff[i] > branch[i, RATE_A] - ctol) | (branch[i, MU_SF] > ptol):
fd.write('%10.3f' % branch[i, MU_SF])
else:
fd.write(' - ')
fd.write('%9.2f%10.2f%10.2f' %
(Ff[i], branch[i, RATE_A], Ft[i]))
if (Ft[i] > branch[i, RATE_A] - ctol) | (branch[i, MU_ST] > ptol):
fd.write('%10.3f' % branch[i, MU_ST])
else:
fd.write(' - ')
fd.write('%6d' % branch[i, T_BUS])
fd.write('\n')
## execute userfcn callbacks for 'printpf' stage
if have_results_struct and 'userfcn' in results:
if not isOPF: ## turn off option for all constraints if it isn't an OPF
ppopt = ppoption(ppopt, 'OUT_ALL_LIM', 0)
run_userfcn(results["userfcn"], 'printpf', results, fd, ppopt)
def _ppc2ppci(ppc, ppci, net):
# BUS Sorting and lookups
# get bus_lookup
bus_lookup = net["_pd2ppc_lookups"]["bus"]
# get OOS busses and place them at the end of the bus array (there are no OOS busses in the ppci)
oos_busses = ppc['bus'][:, BUS_TYPE] == NONE
ppci['bus'] = ppc['bus'][~oos_busses]
# in ppc the OOS busses are included and at the end of the array
ppc['bus'] = np.r_[ppc['bus'][~oos_busses], ppc['bus'][oos_busses]]
# generate bus_lookup_ppc_ppci (ppc -> ppci lookup)
ppc_former_order = (ppc['bus'][:, BUS_I]).astype(int)
aranged_buses = np.arange(len(ppc["bus"]))
# lookup ppc former order -> consecutive order
e2i = np.zeros(len(ppc["bus"]), dtype=int)
e2i[ppc_former_order] = aranged_buses
# save consecutive indices in ppc and ppci
ppc['bus'][:, BUS_I] = aranged_buses
ppci['bus'][:, BUS_I] = ppc['bus'][:len(ppci['bus']), BUS_I]
# update lookups (pandapower -> ppci internal)
_update_lookup_entries(net, bus_lookup, e2i, "bus")
# ToDo: The reverse lookup (ppc2pd) also needs to be updated when connectivity_check == True!
if 'areas' in ppc:
if len(ppc["areas"]) == 0: # if areas field is empty
del ppc['areas'] # delete it (so it's ignored)
# bus types
bt = ppc["bus"][:, BUS_TYPE]
# update branch, gen and areas bus numbering
ppc['gen'][:, GEN_BUS] = e2i[np.real(ppc["gen"][:, GEN_BUS]).astype(int)].copy()
ppc["branch"][:, F_BUS] = e2i[np.real(ppc["branch"][:, F_BUS]).astype(int)].copy()
ppc["branch"][:, T_BUS] = e2i[np.real(ppc["branch"][:, T_BUS]).astype(int)].copy()
# Note: The "update branch, gen and areas bus numbering" does the same as this:
# ppc['gen'][:, GEN_BUS] = get_indices(ppc['gen'][:, GEN_BUS], bus_lookup_ppc_ppci)
# ppc["branch"][:, F_BUS] = get_indices(ppc["branch"][:, F_BUS], bus_lookup_ppc_ppci)
# ppc["branch"][:, T_BUS] = get_indices( ppc["branch"][:, T_BUS], bus_lookup_ppc_ppci)
# but faster...
if 'areas' in ppc:
ppc["areas"][:, PRICE_REF_BUS] = \
e2i[np.real(ppc["areas"][:, PRICE_REF_BUS]).astype(int)].copy()
# reorder gens (and gencosts) in order of increasing bus number
sort_gens = ppc['gen'][:, GEN_BUS].argsort()
new_gen_positions = np.arange(len(sort_gens))
new_gen_positions[sort_gens] = np.arange(len(sort_gens))
ppc['gen'] = ppc['gen'][sort_gens,]
# update gen lookups
_is_elements = net["_is_elements"]
eg_end = np.sum(_is_elements['ext_grid'])
gen_end = eg_end + np.sum(_is_elements['gen'])
sgen_end = len(_is_elements["sgen_controllable"]) + gen_end if "sgen_controllable" in _is_elements else gen_end
load_end = len(_is_elements["load_controllable"]) + sgen_end if "load_controllable" in _is_elements else sgen_end
if eg_end > 0:
_build_gen_lookups(net, "ext_grid", 0, eg_end, new_gen_positions)
if gen_end > eg_end:
_build_gen_lookups(net, "gen", eg_end, gen_end, new_gen_positions)
if sgen_end > gen_end:
_build_gen_lookups(net, "sgen_controllable", gen_end, sgen_end, new_gen_positions)
if load_end > sgen_end:
_build_gen_lookups(net, "load_controllable", sgen_end, load_end, new_gen_positions)
# determine which buses, branches, gens are connected and
# in-service
n2i = ppc["bus"][:, BUS_I].astype(int)
bs = (bt != NONE) # bus status
gs = ((ppc["gen"][:, GEN_STATUS] > 0) & # gen status
bs[n2i[np.real(ppc["gen"][:, GEN_BUS]).astype(int)]])
ppci["internal"]["gen_is"] = gs
brs = (np.real(ppc["branch"][:, BR_STATUS]).astype(int) & # branch status
bs[n2i[np.real(ppc["branch"][:, F_BUS]).astype(int)]] &
bs[n2i[np.real(ppc["branch"][:, T_BUS]).astype(int)]]).astype(bool)
ppci["internal"]["branch_is"] = brs
if 'areas' in ppc:
ar = bs[n2i[ppc["areas"][:, PRICE_REF_BUS].astype(int)]]
# delete out of service areas
ppci["areas"] = ppc["areas"][ar]
# select in service elements from ppc and put them in ppci
ppci["branch"] = ppc["branch"][brs]
ppci["gen"] = ppc["gen"][gs]
if 'dcline' in ppc:
ppci['dcline'] = ppc['dcline']
# execute userfcn callbacks for 'ext2int' stage
if 'userfcn' in ppci:
ppci = run_userfcn(ppci['userfcn'], 'ext2int', ppci)
return ppci
def opf_setup(ppc, ppopt):
"""Constructs an OPF model object from a PYPOWER case dict.
Assumes that ppc is a PYPOWER case dict with internal indexing,
all equipment in-service, etc.
@see: L{opf}, L{ext2int}, L{opf_execute}
@author: Ray Zimmerman (PSERC Cornell)
@author: Carlos E. Murillo-Sanchez (PSERC Cornell & Universidad
Autonoma de Manizales)
@author: Richard Lincoln
"""
## options
dc = ppopt['PF_DC'] ## 1 = DC OPF, 0 = AC OPF
alg = ppopt['OPF_ALG']
verbose = ppopt['VERBOSE']
## data dimensions
nb = ppc['bus'].shape[0] ## number of buses
nl = ppc['branch'].shape[0] ## number of branches
ng = ppc['gen'].shape[0] ## number of dispatchable injections
if 'A' in ppc:
nusr = ppc['A'].shape[0] ## number of linear user constraints
else:
nusr = 0
if 'N' in ppc:
nw = ppc['N'].shape[0] ## number of general cost vars, w
else:
nw = 0
if dc:
## ignore reactive costs for DC
ppc['gencost'], _ = pqcost(ppc['gencost'], ng)
## reduce A and/or N from AC dimensions to DC dimensions, if needed
if nusr or nw:
acc = r_[nb + arange(nb), 2 * nb + ng + arange(ng)] ## Vm and Qg columns
if nusr and (ppc['A'].shape[1] >= 2*nb + 2*ng):
## make sure there aren't any constraints on Vm or Qg
if ppc['A'][:, acc].nnz > 0:
stderr.write('opf_setup: attempting to solve DC OPF with user constraints on Vm or Qg\n')
# FIXME: delete sparse matrix columns
bcc = delete(arange(ppc['A'].shape[1]), acc)
ppc['A'] = ppc['A'].tolil()[:, bcc].tocsr() ## delete Vm and Qg columns
if nw and (ppc['N'].shape[1] >= 2*nb + 2*ng):
## make sure there aren't any costs on Vm or Qg
if ppc['N'][:, acc].nnz > 0:
ii, _ = nonzero(ppc['N'][:, acc])
_, ii = unique(ii, return_index=True) ## indices of w with potential non-zero cost terms from Vm or Qg
if any(ppc['Cw'][ii]) | ( ('H' in ppc) & (len(ppc['H']) > 0) &
any(any(ppc['H'][:, ii])) ):
stderr.write('opf_setup: attempting to solve DC OPF with user costs on Vm or Qg\n')
# FIXME: delete sparse matrix columns
bcc = delete(arange(ppc['N'].shape[1]), acc)
ppc['N'] = ppc['N'].tolil()[:, bcc].tocsr() ## delete Vm and Qg columns
## convert single-block piecewise-linear costs into linear polynomial cost
pwl1 = find((ppc['gencost'][:, MODEL] == PW_LINEAR) & (ppc['gencost'][:, NCOST] == 2))
# p1 = array([])
if len(pwl1) > 0:
x0 = ppc['gencost'][pwl1, COST]
y0 = ppc['gencost'][pwl1, COST + 1]
x1 = ppc['gencost'][pwl1, COST + 2]
y1 = ppc['gencost'][pwl1, COST + 3]
m = (y1 - y0) / (x1 - x0)
b = y0 - m * x0
ppc['gencost'][pwl1, MODEL] = POLYNOMIAL
ppc['gencost'][pwl1, NCOST] = 2
ppc['gencost'][pwl1, COST:COST + 2] = r_[m, b]
## create (read-only) copies of individual fields for convenience
baseMVA, bus, gen, branch, gencost, _, lbu, ubu, ppopt, \
_, fparm, H, Cw, z0, zl, zu, userfcn, _ = opf_args(ppc, ppopt)
## warn if there is more than one reference bus
refs = find(bus[:, BUS_TYPE] == REF)
if len(refs) > 1 and verbose > 0:
errstr = '\nopf_setup: Warning: Multiple reference buses.\n' + \
' For a system with islands, a reference bus in each island\n' + \
' may help convergence, but in a fully connected system such\n' + \
' a situation is probably not reasonable.\n\n'
stdout.write(errstr)
## set up initial variables and bounds
gbus = gen[:, GEN_BUS].astype(int)
Va = bus[:, VA] * (pi / 180.0)
Vm = bus[:, VM].copy()
Vm[gbus] = gen[:, VG] ## buses with gens, init Vm from gen data
Pg = gen[:, PG] / baseMVA
Qg = gen[:, QG] / baseMVA
Pmin = gen[:, PMIN] / baseMVA
Pmax = gen[:, PMAX] / baseMVA
Qmin = gen[:, QMIN] / baseMVA
Qmax = gen[:, QMAX] / baseMVA
if dc: ## DC model
## more problem dimensions
nv = 0 ## number of voltage magnitude vars
nq = 0 ## number of Qg vars
q1 = array([]) ## index of 1st Qg column in Ay
## power mismatch constraints
B, Bf, Pbusinj, Pfinj = makeBdc(baseMVA, bus, branch)
neg_Cg = sparse((-ones(ng), (gen[:, GEN_BUS], arange(ng))), (nb, ng)) ## Pbus w.r.t. Pg
Amis = hstack([B, neg_Cg], 'csr')
bmis = -(bus[:, PD] + bus[:, GS]) / baseMVA - Pbusinj
## branch flow constraints
il = find((branch[:, RATE_A] != 0) & (branch[:, RATE_A] < 1e10))
nl2 = len(il) ## number of constrained lines
lpf = -Inf * ones(nl2)
upf = branch[il, RATE_A] / baseMVA - Pfinj[il]
upt = branch[il, RATE_A] / baseMVA + Pfinj[il]
user_vars = ['Va', 'Pg']
ycon_vars = ['Pg', 'y']
else: ## AC model
## more problem dimensions
nv = nb ## number of voltage magnitude vars
nq = ng ## number of Qg vars
q1 = ng ## index of 1st Qg column in Ay
## dispatchable load, constant power factor constraints
Avl, lvl, uvl, _ = makeAvl(baseMVA, gen)
## generator PQ capability curve constraints
Apqh, ubpqh, Apql, ubpql, Apqdata = makeApq(baseMVA, gen)
user_vars = ['Va', 'Vm', 'Pg', 'Qg']
ycon_vars = ['Pg', 'Qg', 'y']
## voltage angle reference constraints
Vau = Inf * ones(nb)
Val = -Vau
Vau[refs] = Va[refs]
Val[refs] = Va[refs]
## branch voltage angle difference limits
Aang, lang, uang, iang = makeAang(baseMVA, branch, nb, ppopt)
## basin constraints for piece-wise linear gen cost variables
if alg == 545 or alg == 550: ## SC-PDIPM or TRALM, no CCV cost vars
ny = 0
Ay = None
by = array([])
else:
ipwl = find(gencost[:, MODEL] == PW_LINEAR) ## piece-wise linear costs
ny = ipwl.shape[0] ## number of piece-wise linear cost vars
Ay, by = makeAy(baseMVA, ng, gencost, 1, q1, 1+ng+nq)
if any((gencost[:, MODEL] != POLYNOMIAL) & (gencost[:, MODEL] != PW_LINEAR)):
stderr.write('opf_setup: some generator cost rows have invalid MODEL value\n')
## more problem dimensions
nx = nb+nv + ng+nq; ## number of standard OPF control variables
if nusr:
nz = ppc['A'].shape[1] - nx ## number of user z variables
if nz < 0:
stderr.write('opf_setup: user supplied A matrix must have at least %d columns.\n' % nx)
else:
nz = 0 ## number of user z variables
if nw: ## still need to check number of columns of N
if ppc['N'].shape[1] != nx:
stderr.write('opf_setup: user supplied N matrix must have %d columns.\n' % nx)
## construct OPF model object
om = opf_model(ppc)
if len(pwl1) > 0:
om.userdata('pwl1', pwl1)
if dc:
om.userdata('Bf', Bf)
om.userdata('Pfinj', Pfinj)
om.userdata('iang', iang)
om.add_vars('Va', nb, Va, Val, Vau)
om.add_vars('Pg', ng, Pg, Pmin, Pmax)
om.add_constraints('Pmis', Amis, bmis, bmis, ['Va', 'Pg']) ## nb
om.add_constraints('Pf', Bf[il, :], lpf, upf, ['Va']) ## nl
om.add_constraints('Pt', -Bf[il, :], lpf, upt, ['Va']) ## nl
om.add_constraints('ang', Aang, lang, uang, ['Va']) ## nang
else:
om.userdata('Apqdata', Apqdata)
om.userdata('iang', iang)
om.add_vars('Va', nb, Va, Val, Vau)
om.add_vars('Vm', nb, Vm, bus[:, VMIN], bus[:, VMAX])
om.add_vars('Pg', ng, Pg, Pmin, Pmax)
om.add_vars('Qg', ng, Qg, Qmin, Qmax)
om.add_constraints('Pmis', nb, 'nonlinear')
om.add_constraints('Qmis', nb, 'nonlinear')
om.add_constraints('Sf', nl, 'nonlinear')
om.add_constraints('St', nl, 'nonlinear')
om.add_constraints('PQh', Apqh, array([]), ubpqh, ['Pg', 'Qg']) ## npqh
om.add_constraints('PQl', Apql, array([]), ubpql, ['Pg', 'Qg']) ## npql
om.add_constraints('vl', Avl, lvl, uvl, ['Pg', 'Qg']) ## nvl
om.add_constraints('ang', Aang, lang, uang, ['Va']) ## nang
## y vars, constraints for piece-wise linear gen costs
if ny > 0:
om.add_vars('y', ny)
om.add_constraints('ycon', Ay, array([]), by, ycon_vars) ## ncony
## add user vars, constraints and costs (as specified via A, ..., N, ...)
if nz > 0:
om.add_vars('z', nz, z0, zl, zu)
user_vars.append('z')
if nusr:
om.add_constraints('usr', ppc['A'], lbu, ubu, user_vars) ## nusr
if nw:
user_cost = {}
user_cost['N'] = ppc['N']
user_cost['Cw'] = Cw
if len(fparm) > 0:
user_cost['dd'] = fparm[:, 0]
user_cost['rh'] = fparm[:, 1]
user_cost['kk'] = fparm[:, 2]
user_cost['mm'] = fparm[:, 3]
# if len(H) > 0:
user_cost['H'] = H
om.add_costs('usr', user_cost, user_vars)
## execute userfcn callbacks for 'formulation' stage
run_userfcn(userfcn, 'formulation', om)
return om
def int2ext(ppc, val_or_field=None, oldval=None, ordering=None, dim=0):
"""Converts internal to external bus numbering.
C{ppc = int2ext(ppc)}
If the input is a single PYPOWER case dict, then it restores all
buses, generators and branches that were removed because of being
isolated or off-line, and reverts to the original generator ordering
and original bus numbering. This requires that the 'order' key
created by L{ext2int} be in place.
Example::
ppc = int2ext(ppc)
@see: L{ext2int}, L{i2e_field}, L{i2e_data}
@author: Ray Zimmerman (PSERC Cornell)
"""
ppc = deepcopy(ppc)
if val_or_field is None: # nargin == 1
if 'order' not in ppc:
sys.stderr.write('int2ext: ppc does not have the "order" field '
'required for conversion back to external numbering.\n')
o = ppc["order"]
if o["state"] == 'i':
## execute userfcn callbacks for 'int2ext' stage
if 'userfcn' in ppc:
ppc = run_userfcn(ppc["userfcn"], 'int2ext', ppc)
## save data matrices with internal ordering & restore originals
o["int"] = {}
o["int"]["bus"] = ppc["bus"].copy()
o["int"]["branch"] = ppc["branch"].copy()
o["int"]["gen"] = ppc["gen"].copy()
ppc["bus"] = o["ext"]["bus"].copy()
ppc["branch"] = o["ext"]["branch"].copy()
ppc["gen"] = o["ext"]["gen"].copy()
if 'gencost' in ppc:
o["int"]["gencost"] = ppc["gencost"].copy()
ppc["gencost"] = o["ext"]["gencost"].copy()
if 'areas' in ppc:
o["int"]["areas"] = ppc["areas"].copy()
ppc["areas"] = o["ext"]["areas"].copy()
if 'A' in ppc:
o["int"]["A"] = ppc["A"].copy()
ppc["A"] = o["ext"]["A"].copy()
if 'N' in ppc:
o["int"]["N"] = ppc["N"].copy()
ppc["N"] = o["ext"]["N"].copy()
## update data (in bus, branch and gen only)
ppc["bus"][o["bus"]["status"]["on"], :] = \
o["int"]["bus"]
ppc["branch"][o["branch"]["status"]["on"], :] = \
o["int"]["branch"]
ppc["gen"][o["gen"]["status"]["on"], :] = \
o["int"]["gen"][o["gen"]["i2e"], :]
if 'areas' in ppc:
ppc["areas"][o["areas"]["status"]["on"], :] = \
o["int"]["areas"]
## revert to original bus numbers
ppc["bus"][o["bus"]["status"]["on"], BUS_I] = \
o["bus"]["i2e"] \
[ ppc["bus"][o["bus"]["status"]["on"], BUS_I].astype(int) ]
ppc["branch"][o["branch"]["status"]["on"], F_BUS] = \
o["bus"]["i2e"][ ppc["branch"] \
[o["branch"]["status"]["on"], F_BUS].astype(int) ]
ppc["branch"][o["branch"]["status"]["on"], T_BUS] = \
o["bus"]["i2e"][ ppc["branch"] \
[o["branch"]["status"]["on"], T_BUS].astype(int) ]
ppc["gen"][o["gen"]["status"]["on"], GEN_BUS] = \
o["bus"]["i2e"][ ppc["gen"] \
[o["gen"]["status"]["on"], GEN_BUS].astype(int) ]
if 'areas' in ppc:
ppc["areas"][o["areas"]["status"]["on"], PRICE_REF_BUS] = \
o["bus"]["i2e"][ ppc["areas"] \
[o["areas"]["status"]["on"], PRICE_REF_BUS].astype(int) ]
if 'ext' in o: del o['ext']
o["state"] = 'e'
ppc["order"] = o
else:
sys.stderr.write('int2ext: ppc claims it is already using '
'external numbering.\n')
else: ## convert extra data
if isinstance(val_or_field, str) or isinstance(val_or_field, list):
## field (key)
warn('Calls of the form MPC = INT2EXT(MPC, ''FIELD_NAME'', ...) have been deprecated. Please replace INT2EXT with I2E_FIELD.')
bus, gen = val_or_field, oldval
if ordering is not None:
dim = ordering
ppc = i2e_field(ppc, bus, gen, dim)
else:
## value
warn('Calls of the form VAL = INT2EXT(MPC, VAL, ...) have been deprecated. Please replace INT2EXT with I2E_DATA.')
bus, gen, branch = val_or_field, oldval, ordering
ppc = i2e_data(ppc, bus, gen, branch, dim)
return ppc
def _ppc2ppci(ppc, bus_lookup):
from numpy import array, zeros
from scipy.sparse import csr_matrix as sparse
from pypower.idx_bus import NONE, BUS_I, BUS_TYPE
from pypower.idx_gen import GEN_BUS, GEN_STATUS
from pypower.idx_brch import F_BUS, T_BUS, BR_STATUS, QT
from pypower.idx_area import PRICE_REF_BUS
from pypower.run_userfcn import run_userfcn
# init ppci
ppci = {"baseMVA": 1.,
"version": 2,
"bus": np.array([], dtype=float),
"branch": np.array([], dtype=np.complex128),
"gen": np.array([], dtype=float),
"branch_is": np.array([], dtype=bool),
"gen_is": np.array([], dtype=bool)}
# BUS Sorting and lookup
# sort busses in descending order of column 1 (namely: 4 (OOS), 3 (REF), 2 (PV), 1 (PQ))
ppcBuses = ppc["bus"]
ppc['bus'] = ppcBuses[ppcBuses[:, BUS_TYPE].argsort(axis=0)[::-1][:], ]
# get OOS busses and place them at the end of the bus array (so that: 3
# (REF), 2 (PV), 1 (PQ), 4 (OOS))
oos_busses = ppc['bus'][:, BUS_TYPE] == NONE
# there are no OOS busses in the ppci
ppci['bus'] = ppc['bus'][~oos_busses]
# in ppc the OOS busses are included and at the end of the array
ppc['bus'] = np.r_[ppc['bus'][~oos_busses], ppc['bus'][oos_busses]]
# generate bus_lookup_ppc_ppci (ppc -> ppci lookup)
ppc_former_order = (ppc['bus'][:, BUS_I]).astype(int)
arangedBuses = np.arange(len(ppcBuses))
# lookup ppc former order -> consecutive order
e2i = zeros(len(ppcBuses))
e2i[ppc_former_order] = arangedBuses
# save consecutive indices in ppc and ppci
ppc['bus'][:, BUS_I] = arangedBuses
ppci['bus'][:, BUS_I] = ppc['bus'][:len(ppci['bus']), BUS_I]
# update bus_lookup (pandapower -> ppci internal)
bus_lookup = {key: e2i[val] for (key, val) in bus_lookup.items()}
# sizes
nb = ppc["bus"].shape[0]
ng = ppc["gen"].shape[0]
if 'areas' in ppc:
if len(ppc["areas"]) == 0: # if areas field is empty
del ppc['areas'] # delete it (so it's ignored)
# bus types
bt = ppc["bus"][:, BUS_TYPE]
# update branch, gen and areas bus numbering
ppc['gen'][:, GEN_BUS] = \
e2i[np.real(ppc["gen"][:, GEN_BUS]).astype(int)].copy()
ppc["branch"][:, F_BUS] = \
e2i[np.real(ppc["branch"][:, F_BUS]).astype(int)].copy()
ppc["branch"][:, T_BUS] = \
e2i[np.real(ppc["branch"][:, T_BUS]).astype(int)].copy()
# Note: The "update branch, gen and areas bus numbering" does the same as this:
# ppc['gen'][:, GEN_BUS] = get_indices(ppc['gen'][:, GEN_BUS], bus_lookup_ppc_ppci)
# ppc["branch"][:, F_BUS] = get_indices(ppc["branch"][:, F_BUS], bus_lookup_ppc_ppci)
# ppc["branch"][:, T_BUS] = get_indices( ppc["branch"][:, T_BUS], bus_lookup_ppc_ppci)
# but faster...
if 'areas' in ppc:
ppc["areas"][:, PRICE_REF_BUS] = \
e2i[np.real(ppc["areas"][:, PRICE_REF_BUS]).astype(int)].copy()
# reorder gens in order of increasing bus number
ppc['gen'] = ppc['gen'][ppc['gen'][:, GEN_BUS].argsort(), ]
# determine which buses, branches, gens are connected and
# in-service
# n2i = sparse((range(nb), (ppc["bus"][:, BUS_I], zeros(nb))),
# shape=(maxBus + 1, 1))
# n2i = array(n2i.todense().flatten())[0, :] # as 1D array
n2i = ppc["bus"][:, BUS_I].astype(int)
bs = (bt != NONE) # bus status
gs = ((ppc["gen"][:, GEN_STATUS] > 0) & # gen status
bs[n2i[np.real(ppc["gen"][:, GEN_BUS]).astype(int)]])
ppci["gen_is"] = gs
brs = (np.real(ppc["branch"][:, BR_STATUS]).astype(int) & # branch status
bs[n2i[np.real(ppc["branch"][:, F_BUS]).astype(int)]] &
bs[n2i[np.real(ppc["branch"][:, T_BUS]).astype(int)]]).astype(bool)
ppci["branch_is"] = brs
if 'areas' in ppc:
ar = bs[n2i[ppc["areas"][:, PRICE_REF_BUS].astype(int)]]
# delete out of service areas
ppci["areas"] = ppc["areas"][ar]
# select in service elements from ppc and put them in ppci
ppci["branch"] = ppc["branch"][brs]
ppci["gen"] = ppc["gen"][gs]
# execute userfcn callbacks for 'ext2int' stage
if 'userfcn' in ppci:
ppci = run_userfcn(ppci['userfcn'], 'ext2int', ppci)
return ppci, bus_lookup