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(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
## execute userfcn callbacks for 'formulation' stage
run_userfcn(userfcn, 'formulation', om)
return om
def _ppc2ppci(ppc, net, ppci=None):
"""
Creates the ppci which is used to run the power flow / OPF...
The ppci is similar to the ppc except that:
1. it contains no out of service elements
2. buses are sorted
Parameters
----------
ppc - the ppc
net - the pandapower net
Returns
-------
ppci - the "internal" ppc
"""
# get empty ppci
if ppci is None:
ppci = _init_ppc(net, mode=net["_options"]["mode"])
# 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.vstack([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")
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:
# 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()
# initialize gen lookups
for element, (f, t) in net._gen_order.items():
_build_gen_lookups(net, element, f, t)
# 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)
if net._pd2ppc_lookups["ext_grid"] is not None:
ref_gens = np.setdiff1d(net._pd2ppc_lookups["ext_grid"],
np.array([-1]))
else:
ref_gens = np.array([])
if np.any(net.gen.slack.values[net._is_elements["gen"]]):
slack_gens = np.array(net.gen.index)[net._is_elements["gen"] \
& net.gen["slack"].values]
ref_gens = np.append(ref_gens, net._pd2ppc_lookups["gen"][slack_gens])
ppci["internal"]["ref_gens"] = ref_gens.astype(int)
return ppci
def printpf(baseMVA,
bus=None,
gen=None,
branch=None,
f=None,
success=None,
et=None,
fd=None,
ppopt=None): # pragma: no cover
"""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| PyPower (ppci) System Summary - these are not valid for pandapower DataFrames|'
)
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].real.astype(int)]])
Ft = abs((branch[:, PT] + 1j * branch[:, QT]) /
V[e2i[branch[:, T_BUS].real.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].real))
if (Ff[i] > branch[i, RATE_A] - ctol) | (branch[i, MU_SF] >
ptol):
fd.write('%10.3f' % branch[i, MU_SF].real)
else:
fd.write(' - ')
fd.write('%9.2f%10.2f%10.2f' %
(Ff[i], branch[i, RATE_A].real, Ft[i]))
if (Ft[i] > branch[i, RATE_A] - ctol) | (branch[i, MU_ST] >
ptol):
fd.write('%10.3f' % branch[i, MU_ST].real)
else:
fd.write(' - ')
fd.write('%6d' % branch[i, T_BUS].real)
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)