def faultPlot(bus_coord):
''' Plot fault study. '''
dss.run_command('Solve Mode=FaultStudy')
dss.run_command('Export fault faults.csv')
faultData = pd.read_csv('faults.csv')
bus_coord.columns = ['Bus', 'X', 'Y',
'radius'] # Add defined column names.
faultDF = pd.concat([bus_coord, faultData], axis=1)
faultDF.columns = faultDF.columns.str.strip()
plt.scatter(faultDF['radius'], faultDF['3-Phase'])
plt.xlabel('Distance [m]')
plt.ylabel('Current [Amps]')
plt.axis([-1, 6, 0, 8000])
plt.savefig('3-Phase.png')
plt.clf()
plt.scatter(faultDF['radius'], faultDF['1-Phase'])
plt.xlabel('Distance [m]')
plt.ylabel('Current [Amps]')
plt.savefig('1-phase.png')
plt.axis([-1, 6, 0, 8000])
plt.clf()
plt.scatter(faultDF['radius'], faultDF['L-L'])
plt.xlabel('Distance [m]')
plt.ylabel('Current [Amps]')
plt.axis([-1, 6, 0, 8000])
plt.savefig('L-L.png')
plt.clf()
packagePlots('FaultPlots')
def create_dict(output_dir):
"""Do the fault study for each reader and create a dictonary which contains the sequence impedances for each node.
These values are used for comparison of fault study of readers"""
comp_values = defaultdict()
for case_dir in os.listdir(output_dir):
comp_values[case_dir] = defaultdict()
for dir_name in os.listdir(os.path.join(output_dir, case_dir)):
comp_values[case_dir][dir_name] = {}
with open(
os.path.join(output_dir, case_dir, dir_name, "Master.dss"),
"r") as rfile:
filedata = rfile.read()
filedata = filedata.replace("Solve", "Solve mode=faultstudy")
with open(
os.path.join(output_dir, case_dir, dir_name,
"Faultstudy_Master.dss"),
"w",
) as file:
file.write(filedata)
dss.run_command("Redirect {}".format(
os.path.join(output_dir, case_dir, dir_name,
"Faultstudy_Master.dss")))
for i in dss.Circuit.AllBusNames():
dss.Circuit.SetActiveBus(i)
comp_values[case_dir][dir_name][dss.Bus.Name()] = (
dss.Bus.Zsc0() + dss.Bus.Zsc1())
return comp_values
def _clean_data(data, class_name):
import opendssdirect as dss
for element in dss.ActiveClass.AllNames():
name = "{class_name}.{element}".format(class_name=class_name,
element=element)
dss.ActiveClass.Name(element)
if "nconds" in dss.Element.AllPropertyNames():
nconds = int(data[name]["nconds"])
x = []
h = []
units = []
for cond in range(1, nconds + 1):
dss.run_command("{name}.cond={cond}".format(name=name,
cond=cond))
x.append(float(dss.run_command(
"? {name}.x".format(name=name))))
h.append(float(dss.run_command(
"? {name}.h".format(name=name))))
units.append(
dss.run_command("? {name}.units".format(name=name)))
data[name]["x"] = x
data[name]["h"] = h
data[name]["units"] = units
return data
def compile_feeder_initialize(self):
self.break_flag = 0
dss.run_command("Clear")
dss.Basic.ClearAll()
Master_file = os.path.join(self.Settings["Feeder_path"], self.folders,
self.sub_folder, self.feeder, "Master.dss")
print(Master_file)
if not os.path.exists(Master_file):
print("error {} does not exist".format(Master_file))
self.break_flag = 1
if self.break_flag == 0:
try:
# Solve base no DPV case: If base no DPV is outside ANSI B limits abort
command_string = "Redirect {master}".format(master=Master_file)
# self.write_dss_file(command_string)
k = dss.run_command(command_string)
if len(k) > 1:
self.break_flag = 1
command_string = "Solve mode=snap"
# self.write_dss_file(command_string)
dss.run_command(command_string)
self.sol.Solve()
except:
self.break_flag == 1
print("here")
def voltagePlot(filePath, PU=True):
''' Voltage plotting routine.'''
dssFileLoc = os.path.dirname(os.path.abspath(filePath))
volt_coord = runDSS(filePath)
dss.run_command('Export voltages ' + dssFileLoc + '/volts.csv')
# Generate voltage plots.
voltage = pd.read_csv(dssFileLoc + '/volts.csv')
volt_coord.columns = ['Bus', 'X', 'Y', 'radius']
voltageDF = pd.merge(
volt_coord, voltage,
on='Bus') # Merge on the bus axis so that all data is in one frame.
plt.title('Voltage Profile')
plt.xlabel('Distance from source[miles]')
if PU:
for i in range(1, 4):
volt_ind = ' pu' + str(i)
plt.scatter(voltageDF['radius'],
voltageDF[volt_ind],
label='Phase ' + str(i))
plt.ylabel('Voltage [PU]')
plt.legend()
plt.savefig(dssFileLoc + '/Voltage Profile [PU].png')
else:
# plt.axis([1, 7, 2000, 3000]) # Ignore sourcebus-much greater-for overall magnitude.
for i in range(1, 4):
mag_ind = ' Magnitude' + str(i)
plt.scatter(voltageDF['radius'],
voltageDF[mag_ind],
label='Phase ' + str(i))
plt.ylabel('Voltage [V]')
plt.legend()
plt.savefig(dssFileLoc + '/Voltage Profile [V].png')
plt.clf()
def voltagePlots(volt_coord):
''' Voltage plotting routine.'''
dss.run_command('Export voltages volts.csv') # Generate voltage plots.
voltage = pd.read_csv('volts.csv')
volt_coord.columns = ['Bus', 'X', 'Y', 'radius']
voltageDF = pd.merge(
volt_coord, voltage,
on='Bus') # Merge on the bus axis so that all data is in one frame.
for i in range(1, 4):
volt_ind = ' pu' + str(i)
mag_ind = ' Magnitude' + str(i)
plt.scatter(voltageDF['radius'], voltageDF[volt_ind])
plt.xlabel('Distance from source[miles]')
plt.ylabel('Voltage [PU]')
plt.title('Voltage profile for phase ' + str(i))
plt.savefig('Pu Profile ' + str(i) + '.png') # A per unit plot.
plt.clf()
plt.scatter(voltageDF['radius'], voltageDF[mag_ind])
plt.xlabel('Distance from source[miles]')
plt.ylabel('Volt [V]')
plt.axis([1, 7, 2000, 3000
]) # Ignore sourcebus-much greater-for overall magnitude.
plt.title('Voltage profile for phase ' + str(i))
plt.savefig('Magnitude Profile ' + str(i) + '.png') # Actual voltages.
plt.clf()
packagePlots('voltagePlots')
def test_cyme_to_opendss():
'''
Test the Cyme to OpenDSS conversion.
'''
list_of_directories = []
from ditto.store import Store
from ditto.readers.cyme.read import Reader
from ditto.writers.opendss.write import Writer
import opendssdirect as dss
cyme_models = [
f for f in os.listdir(
os.path.join(current_directory, 'data/small_cases/cyme/'))
if not f.startswith('.')
]
for model in cyme_models:
print(model)
m = Store()
r = Reader(data_folder_path=os.path.join(
current_directory, 'data/small_cases/cyme', model))
r.parse(m)
#TODO: Log properly
# print('>Cyme model {model} read...'.format(model=model))
output_path = tempfile.TemporaryDirectory()
list_of_directories.append(output_path)
w = Writer(output_path=output_path.name)
w.write(m)
#TODO: Log properly
# print('>...and written to OpenDSS.\n')
print(model)
dss.run_command("clear")
def THD(filePath):
''' Calculate and plot total harmonic distortion. '''
dssFileLoc = os.path.dirname(os.path.abspath(filePath))
bus_coords = runDSS(filePath)
dss.run_command('Solve mode=harmonics')
dss.run_command('Export voltages ' + dssFileLoc + '/voltharmonics.csv')
# Clean up temp file.
try:
base = os.path.basename(filePath)
fnameMinusExt = os.path.splitext(base)[0]
os.remove('{}_SavedVoltages.dbl'.format(fnameMinusExt))
except:
pass
voltHarmonics = pd.read_csv(dssFileLoc + '/voltharmonics.csv')
bus_coords.columns = ['Bus', 'X', 'Y', 'radius']
voltHarmonics.columns.str.strip()
for index, row in voltHarmonics.iterrows():
voltHarmonics['THD'] = row[' Magnitude1'] / (
math.sqrt(row[' Magnitude2']**2 + row[' Magnitude3']**2))
distortionDF = pd.merge(
bus_coords, voltHarmonics,
on='Bus') # Merge on the bus axis so that all data is in one frame.
plt.scatter(distortionDF['radius'], distortionDF['THD'])
plt.xlabel('Distance from Source [miles]')
plt.ylabel('THD [Percentage]')
plt.title('Total Harmonic Distortion')
plt.savefig(dssFileLoc + '/THD.png')
plt.clf()
def DSS_lines_3ph(iline, timestep):
# Helper function for DSS_lines
r11 = iline.R[0, 0]
r12 = iline.R[1, 0]
r22 = iline.R[1, 1]
r13 = iline.R[2, 0]
r23 = iline.R[2, 1]
r33 = iline.R[2, 2]
x11 = iline.X[0, 0]
x12 = iline.X[1, 0]
x22 = iline.X[1, 1]
x13 = iline.X[2, 0]
x23 = iline.X[2, 1]
x33 = iline.X[2, 2]
dss.run_command("New Line." + iline.name + " Bus1=" +
iline.from_node.name + ".1.2.3 Bus2=" +
iline.to_node.name + ".1.2.3 BaseFreq=60 Phases=3" +
" rmatrix = (" + str(r11) + " | " + str(r12) + " " +
str(r22) + " | " + str(r13) + " " + str(r23) + " " +
str(r33) + ")" + " xmatrix = (" + str(x11) + " | " +
str(x12) + " " + str(x22) + " | " + str(x13) + " " +
str(x23) + " " + str(x33) + ")")
return
def CreateBusObjects():
dssBuses = {}
BusNames = dss.Circuit.AllBusNames()
dss.run_command('New Fault.DEFAULT Bus1={} enabled=no r=0.01'.format(
BusNames[0]))
for BusName in BusNames:
dss.Circuit.SetActiveBus(BusName)
dssBuses[BusName] = dssBus()
return dssBuses
def loadDSS():
current_directory = os.path.realpath(os.path.dirname(__file__))
master_file = os.path.join(current_directory,
'../data/DSS_files/master.dss')
dss.Basic.DataPath(current_directory)
dss.run_command("clear")
dss.run_command('compile {master}'.format(master=master_file))
return dss
def parse_DSS_file(self):
print("Compiling DSS file in OpenDSS...")
dss.run_command(r'{:}'.format(self.file))
print("Parsing DSS file in LogV3LPF format...")
DSScase.get_capacitors_from_dss(self)
DSScase.get_transformers_from_dss(self)
DSScase.get_loads_from_dss(self)
DSScase.get_lines_from_dss(self)
DSScase.get_regcontrols_from_dss(self)
DSScase.get_buses_from_dss(self)
DSScase.get_constants(self)
DSScase.create_load_model(self)
print("Done parsing")
def networkPlot(coords):
''' Plot the physical topology of the circuit. '''
dss.run_command('Export voltages volts.csv')
volts = pd.read_csv('volts.csv')
coords.columns = ['Bus', 'X', 'Y', 'radius']
G = nx.Graph() # Declare networkx object.
pos = {}
for index, row in coords.iterrows(): # Get the coordinates.
if row['Bus'] == '799R':
row['Bus'] = '799r'
if row['Bus'] == 'SOURCEBUS':
row['Bus'] = 'SourceBus'
G.add_node(row['Bus'])
pos[row['Bus']] = (row['X'], row['Y'])
volt_values = {}
labels = {}
for index, row in volts.iterrows(
): # We'll color the nodes according to voltage. FIX: pu1?
if row['Bus'] == '799R':
row['Bus'] = '799r'
if row['Bus'] == 'SOURCEBUS':
row['Bus'] = 'SourceBus'
volt_values[row['Bus']] = row[' pu1']
labels[row['Bus']] = row['Bus']
colorCode = [volt_values[node] for node in G.nodes()]
lines = dss.utils.lines_to_dataframe(
) # Get the connecting edges using Pandas.
edges = []
for index, row in lines.iterrows(
): # For 799R, you need four charactesr. The others all have a period at the end, so splice that.
bus1 = row['Bus1'][:4].replace('.', '')
bus2 = row['Bus2'][:4].replace('.', '')
edges.append((bus1, bus2))
G.add_edges_from(edges)
nodes = nx.draw_networkx_nodes(
G, pos, node_color=colorCode
) # We must seperate this to create a mappable object for colorbar.
edges = nx.draw_networkx_edges(G, pos)
nx.draw_networkx_labels(G, pos,
labels) # We'll draw the labels seperately.
plt.colorbar(nodes)
plt.xlabel('Distance [m]')
plt.title('Network Voltage Layout')
plt.savefig('networkPlot.png')
plt.clf()
packagePlots('networkPlots')
def _constructYMatrix(self):
'''
Calculate the nodal admittance matrix YMatrix
Returns
-------
numpy array
It returns a complex array of Y admittance matrix
'''
#- disconnect vsources and loads
dss.run_command('vsource.source.enabled = no')
dss.run_command('batchedit load..* enabled=no')
#- extract YMatrix
dss.Solution.Solve()
Ybus = dss.Circuit.SystemY() #--- slow
Yres = np.reshape(Ybus, (self._nNodes, self._nNodes * 2)) #--- slow
#- populate complex polyphase nodal Y
Y = np.zeros((self._nNodes, self._nNodes), dtype=complex)
for i in range(self._nNodes): #--- very very slow
Y[:, i] = Yres[:, 2 * i] + 1j * Yres[:, 2 * i + 1]
self._YMatrixPrev = self._YMatrix
self._YMatrix = Y
#- reconnect vsources and loads
dss.run_command('vsource.source.enabled = yes')
dss.run_command('batchedit load..* enabled=yes')
#- return to the previous solution
dss.Solution.Solve()
return Y
def _readInelasticLoadPQ(self, file):
'''
Read inelastic load from file
The class assumes that the file is in the current directory
After the file is read, the load is inserted in the circuit and
a new solution is calculated
Parameters
----------
arg1 : str
Name of the file
Returns
-------
numpy array
It returns an array of P and Q tuples, for each node
'''
current_directory = os.path.dirname(os.path.realpath(__file__))
pathToFile = os.path.abspath(os.path.join(current_directory, file))
if not os.path.isfile(pathToFile):
print('File does not exist: ' + pathToFile)
sys.exit()
else:
with open(pathToFile, 'r') as csvFile:
csvobj = csv.reader(csvFile)
data = list(csvobj)
PQ = np.zeros((self._nNodes, 2))
for i in range(len(data)):
nodeName = data[i][0]
idx = self._terminal2node[nodeName]
# If no such node in map, create one with zero load
if (nodeName not in self._nodewithload.keys()):
self._nodewithload[nodeName] = 0
if self._nodewithload[nodeName] > 0:
PQ[idx][0] = float(data[i][1])
PQ[idx][1] = float(data[i][2])
logging.debug('New Load.' + nodeName + ' Bus1=' +
nodeName + ' kW=' + data[i][1] + ' kvar=' +
data[i][2])
dss.run_command('New Load.' + nodeName + ' Bus1=' +
nodeName + ' kW=' + data[i][1] + ' kvar=' +
data[i][2])
#-- after loading a new solution is necessary
dss.Solution.Solve()
return PQ
def run(self, detailed_metrics=True):
""" Run the experiment. """
steps = self.horizon // self.period
for t in tqdm(range(steps)):
self.build_circuit()
self.step_loads(t)
dss.run_command("Solve")
time = self.P.index[t]
self.store_voltages(time)
self.store_transformer_info(time)
if detailed_metrics:
self._summary_dict[time] = export_to_df("summary")
self._overload_dict[time] = export_to_df("overload")
self._capacity_dict[time] = export_to_df("capacity")
self._currents_dict[time] = export_to_df("currents")
self._profile_dict[time] = export_to_df("profile")
def main():
settings = ProjectModel(
max_control_iterations=50,
error_tolerance=0.0001,
)
dss.run_command(
"compile tests/data/project/DSSfiles/Master_Spohn_existing_VV.dss")
volt_var_model = PvControllerModel(
Control1="VVar",
Control2="None",
Control3="None",
pf=1,
pfMin=0.8,
pfMax=1,
Pmin=0,
Pmax=1,
uMin=0.9399999999999999,
uDbMin=0.97,
uDbMax=1.03,
uMax=1.06,
QlimPU=0.44,
PFlim=0.9,
enable_pf_limit=False,
uMinC=1.06,
uMaxC=1.1,
PminVW=10,
VWtype="Rated Power",
percent_p_cutin=10,
percent_p_cutout=10,
Efficiency=100,
Priority="Var",
DampCoef=0.8,
)
controller = CircuitElementController(volt_var_model) # Use all elements.
manager = ControllerManager.create([controller], settings)
done = False
while not done:
has_converged = manager.run_controls()
if has_converged:
print("Reached convergence")
done = True
else:
# TODO: just an example. Real code would have other logic.
raise Exception("Failed to converge")
def THD(bus_coords):
''' Calculate and plot harmonics. '''
dss.run_command('Solve mode=harmonics')
dss.run_command('Export voltages voltharmonics.csv')
voltHarmonics = pd.read_csv('voltharmonics.csv')
bus_coords.columns = ['Bus', 'X', 'Y', 'radius']
voltHarmonics.columns.str.strip()
for index, row in voltHarmonics.iterrows():
voltHarmonics['THD'] = row[' Magnitude1']/(math.sqrt(row[' Magnitude2']**2 + row[' Magnitude3']**2))
distortionDF = pd.merge(bus_coords, voltHarmonics, on='Bus') # Merge on the bus axis so that all data is in one frame.
plt.scatter(distortionDF['radius'], distortionDF['THD'])
plt.xlabel('Radius [m]')
plt.ylabel('THD [Percentage]')
plt.title('Total Harmonic Distortion')
plt.savefig('THD.png')
packagePlots('THD')
plt.clf()
def init(self,
sid,
topofile,
nwlfile,
loadgen_interval,
ilpqfile="",
verbose=0):
self.sid = sid
self.verbose = verbose
self.loadgen_interval = loadgen_interval
self.swpos = 0
self.swcycle = 35
if (self.verbose > 0): print('simulator_pflow::init', self.sid)
if (self.verbose > 1):
print('simulator_pflow::init', topofile, nwlfile, ilpqfile,
verbose)
#--- start opendss
self.dssObj = SimDSS(topofile, nwlfile, ilpqfile)
if (self.verbose > 2):
self.dssObj.showLoads()
self.dssObj.showVNodes()
self.dssObj.showIinout()
self.dssObj.showVMagAnglePu()
dss.run_command("Show Voltages LN nodes")
dss.run_command("Show Buses")
#--- Generate and save AdjMatrix and YMatrix
# self.dssObj.createAdjMatrix("config/IEEE33_AdjMatrixFull.txt")
# YMatrix = self.dssObj.getYMatrix()
# np.save('config/IEEE33_YMatrixFull.npy', YMatrix)
#--- create instance of LoadGenerator
self.objLoadGen = LoadGenerator(nwlfile,
PFLimInf=1.0,
PFLimSup=1.0,
LoadLimInf=0.4,
LoadLimSup=0.9,
AmpGain=0.25,
Freq=1. / 1250,
PhaseShift=math.pi)
return self.meta
def currentPlots(curr_coord):
''' Current plotting function.'''
dss.run_command('Export current currents.csv')
current = pd.read_csv('currents.csv')
curr_coord.columns = ['Index', 'X', 'Y', 'radius'] # DSS buses don't have current, but are connected to it.
curr_hyp = []
currentDF = pd.concat([curr_coord, current], axis=1)
for i in range(1, 3):
for j in range(1, 4):
cur_ind = ' I' + str(i) + '_' + str(j)
plt.scatter(currentDF['radius'], currentDF[cur_ind])
plt.xlabel('Distance from source [km]')
plt.ylabel('Current [Amps]')
plt.title('Current profile for ' + cur_ind)
plt.savefig('Profile ' + str(i) +'.png')
plt.clf()
packagePlots('currentPlots')
plt.clf()
def networkPlot(filePath):
''' Plot the physical topology of the circuit. '''
dssFileLoc = os.path.dirname(os.path.abspath(filePath))
coords = runDSS(filePath)
dss.run_command('Export voltages ' + dssFileLoc + '/volts.csv')
volts = pd.read_csv(dssFileLoc + '/volts.csv')
coords.columns = ['Bus', 'X', 'Y', 'radius']
G = nx.Graph()
# Get the coordinates.
pos = {}
for index, row in coords.iterrows():
try:
bus_name = str(int(row['Bus']))
except:
bus_name = row['Bus']
G.add_node(bus_name)
pos[bus_name] = (row['X'], row['Y'])
# Get the connecting edges using Pandas.
lines = dss.utils.lines_to_dataframe()
edges = []
for index, row in lines.iterrows():
#HACK: dss upercases everything in the outputs.
bus1 = row['Bus1'][:4].upper().replace('.', '')
bus2 = row['Bus2'][:4].upper().replace('.', '')
edges.append((bus1, bus2))
G.add_edges_from(edges)
# We'll color the nodes according to voltage.
volt_values = {}
labels = {}
for index, row in volts.iterrows():
volt_values[row['Bus']] = row[' pu1']
labels[row['Bus']] = row['Bus']
colorCode = [volt_values.get(node, 0.0) for node in G.nodes()]
# Start drawing.
nodes = nx.draw_networkx_nodes(G, pos, node_color=colorCode)
edges = nx.draw_networkx_edges(G, pos)
nx.draw_networkx_labels(G, pos, labels, font_size=8)
plt.colorbar(nodes)
plt.xlabel('Distance [m]')
plt.title('Network Voltage Layout')
plt.savefig(dssFileLoc + '/networkPlot.png')
plt.clf()
def setLoads(self, ePQ):
'''
Update circuit state with new set of loads. Add new load set to the
inelastic loads
Parameters
----------
arg1 : numpy array
Array with <nodeName, P, Q> tuples for each node in the system
'''
#-- for each load record received
for i in range(len(ePQ)):
#-- extract the node
nodeName = ePQ[i][0]
#-- find the index according to terminal2node map
idx = self._terminal2node[nodeName]
#-- if the number of homes in the load is greater than zero
if self._nodewithload[nodeName] > 0:
if (self._hasIPQ == True):
logging.debug('New Load.' + nodeName + ' Bus1=' +
nodeName + ' kW=' +
str(self._iPQ[idx][0] + ePQ[i][1]) +
' kvar=' +
str(self._iPQ[idx][1] + ePQ[i][2]))
dss.run_command('New Load.' + nodeName + ' Bus1=' +
nodeName + ' kW=' +
str(self._iPQ[idx][0] + ePQ[i][1]) +
' kvar=' +
str(self._iPQ[idx][1] + ePQ[i][2]))
else:
logging.debug('New Load.' + nodeName + ' Bus1=' +
nodeName + ' kW=' + str(ePQ[i][1]) +
' kvar=' + str(ePQ[i][2]))
dss.run_command('New Load.' + nodeName + ' Bus1=' +
nodeName + ' kW=' + str(ePQ[i][1]) +
' kvar=' + str(ePQ[i][2]))
#-- after setting a new load, a new system state has to be calculated
self._updateSystemState()
def DSS_lines_2ph(iline, timestep):
# Helper function for DSS_lines
Zmat = iline.R + 1j * iline.X
if Zmat[0][1] > 1e-7:
Rtemp = iline.R[0:2][:, 0:2]
Xtemp = iline.X[0:2][:, 0:2]
elif Zmat[1][2] > 1e-7:
Rtemp = iline.R[1:3][:, 1:3]
Xtemp = iline.X[1:3][:, 1:3]
elif Zmat[0][2] > 1e-7:
Rtemp = np.array([[iline.R[0][0], iline.R[0][2]],
[iline.R[2][0], iline.R[2][2]]])
Xtemp = np.array([[iline.X[0][0], iline.X[0][2]],
[iline.X[2][0], iline.X[2][2]]])
r11 = Rtemp[0, 0]
r12 = Rtemp[1, 0]
r22 = Rtemp[1, 1]
x11 = Xtemp[0, 0]
x12 = Xtemp[1, 0]
x22 = Xtemp[1, 1]
phasestr = "."
if iline.phasevec[0, 0] == 1:
phasestr = phasestr + "1."
if iline.phasevec[1, 0] == 1:
phasestr = phasestr + "2."
if iline.phasevec[2, 0] == 1:
phasestr = phasestr + "3."
if phasestr[len(phasestr) - 1] == ".":
phasestr = phasestr[:-1]
dss.run_command("New Line." + iline.name + " Bus1=" +
iline.from_node.name + phasestr + " Bus2=" +
iline.to_node.name + phasestr + " BaseFreq=60 Phases=2" +
" rmatrix = (" + str(r11) + " | " + str(r12) + " " +
str(r22) + ")" + " xmatrix = (" + str(x11) + " | " +
str(x12) + " " + str(x22) + ")")
return
def dynamicPlot(filePath, time_step, iterations):
''' Do a dynamic, long-term study of the powerflow. time_step is in seconds. '''
dssFileLoc = os.path.dirname(os.path.abspath(filePath))
runDSS(filePath)
dss.run_command('Solve')
dynamicCommand = 'Solve mode=dynamics stepsize=%d number=%d' % (time_step,
iterations)
dss.run_command(dynamicCommand)
for i in range(iterations):
voltString = 'Export voltages ' + dssFileLoc + '/dynamicVolt%d.csv' % i
currentString = 'Export currents ' + dssFileLoc + '/dynamicCurrent%d.csv' % i
dss.run_command(voltString)
dss.run_command(currentString)
powerData = []
for j in range(iterations):
curVolt = 'dynamicvolt%d.csv' % j
curCurrent = 'dynamiccurrent%d.csv' % j
voltProfile = pd.read_csv(dssFileLoc + '/' + curVolt)
voltProfile.columns = voltProfile.columns.str.replace(' ', '')
curProfile = pd.read_csv(dssFileLoc + '/' + curCurrent)
curProfile.columns = curProfile.columns.str.replace(' ', '')
sourceVoltage = voltProfile.loc[voltProfile['Bus'] == 'SOURCEBUS']
sourceCurrent = curProfile.loc[curProfile['Element'] ==
'Vsource.SOURCE']
data_summary = {
'Volts': (sourceVoltage['Magnitude1'], sourceVoltage['Magnitude2'],
sourceVoltage['Magnitude3']),
'Currents': (sourceCurrent['I1_1'], sourceCurrent['I1_2'],
sourceCurrent['I1_3'])
}
power_triplet = (data_summary['Volts'][0] *
data_summary['Currents'][0],
data_summary['Volts'][1] *
data_summary['Currents'][1],
data_summary['Volts'][2] *
data_summary['Currents'][2])
powerData.append(power_triplet)
first_phase = [item[0] for item in powerData]
second_phase = [item[1] for item in powerData]
third_phase = [item[2] for item in powerData]
plt.plot(first_phase, label='Phase one')
plt.plot(second_phase, label='Phase two')
plt.plot(third_phase, label='Phase three')
plt.legend()
plt.xlim(0, iterations - 1)
plt.xlabel('Time [s]')
plt.ylabel('Power [kW]')
plt.title('Dynamic Simulation Power Plot')
plt.savefig(dssFileLoc + '/DynamicPowerPlot.png')
os.system('rm ' + dssFileLoc + '/dynamicvolt* ' + dssFileLoc +
'/dynamiccurrent*')
def volt_var(self):
# Setting XY curve for PV volt_var
yarray = [str(el) for el in self.config_dict['volt_var']['yarray']]
xarray = [str(el) for el in self.config_dict['volt_var']['xarray']]
assert len(xarray) == len(yarray), 'length of xarray and yarray must be same !!'
self.dss_instance.run_command(f"New XYCurve.vv_curve npts={len(xarray)}" \
+ " Yarray=(" + ','.join(yarray) + ") Xarray=(" + ','.join(xarray) +")")
# Increment PVSystem
flag = self.dss_instance.PVsystems.First()
while flag>0:
pv_name = self.dss_instance.PVsystems.Name()
dss.run_command(f"New InvControl.InvPVCtrl_{pv_name} PVSystemList={pv_name} mode=VOLTVAR voltage_curvex_ref=rated "
"vvc_curve1=vv_curve deltaQ_factor=0.08 varchangetolerance=0.00025 voltagechangetolerance=0.00001 "
"Eventlog=No VV_RefReactivePower=VARMAX_VARS")
flag = self.dss_instance.PVsystems.Next()
def currentPlot(filePath):
''' Current plotting function.'''
dssFileLoc = os.path.dirname(os.path.abspath(filePath))
curr_coord = runDSS(filePath)
dss.run_command('Export currents ' + dssFileLoc + '/currents.csv')
current = pd.read_csv(dssFileLoc + '/currents.csv')
curr_coord.columns = [
'Index', 'X', 'Y', 'radius'
] # DSS buses don't have current, but are connected to it.
curr_hyp = []
currentDF = pd.concat([curr_coord, current], axis=1)
plt.xlabel('Distance from source [km]')
plt.ylabel('Current [Amps]')
plt.title('Current Profile')
for i in range(1, 3):
for j in range(1, 4):
cur_ind = ' I' + str(i) + '_' + str(j)
plt.scatter(currentDF['radius'], currentDF[cur_ind], label=cur_ind)
plt.legend()
plt.savefig(dssFileLoc + '/Current Profile.png')
plt.clf()
def DSS_actuators(feeder, timestep):
# Uses DSS commands to add the previously solved-for values of actuator dispatch to the model as negative loads.
for key, iact in feeder.actdict.items():
Pvec = -iact.Pgen[:, timestep].value
#print('P:',Pvec) #jasper
Qvec = -iact.Qgen[:, timestep].value
#print('Q:',Qvec) #jasper
for idx in range(0, 3):
if iact.phasevec[0, 0] == 1:
dss.run_command("New Load." + iact.name + "a Bus1=" +
iact.node.name +
".1 Phases=1 Conn=Wye Model=1 kV=" +
str(iact.node.kVbase_phg) + " kW=" +
str(Pvec[0] * iact.node.kVAbase) + " kvar=" +
str(Qvec[0] * iact.node.kVAbase) +
" Vminpu=0.8 Vmaxpu=1.2")
if iact.phasevec[1, 0] == 1:
dss.run_command("New Load." + iact.name + "b Bus1=" +
iact.node.name +
".2 Phases=1 Conn=Wye Model=1 kV=" +
str(iact.node.kVbase_phg) + " kW=" +
str(Pvec[1] * iact.node.kVAbase) + " kvar=" +
str(Qvec[1] * iact.node.kVAbase) +
" Vminpu=0.8 Vmaxpu=1.2")
if iact.phasevec[2, 0] == 1:
dss.run_command("New Load." + iact.name + "c Bus1=" +
iact.node.name +
".3 Phases=1 Conn=Wye Model=1 kV=" +
str(iact.node.kVbase_phg) + " kW=" +
str(Pvec[2] * iact.node.kVAbase) + " kvar=" +
str(Qvec[2] * iact.node.kVAbase) +
" Vminpu=0.8 Vmaxpu=1.2")
return
def capacityPlot(filePath):
''' Plot power vs. distance '''
dssFileLoc = os.path.dirname(os.path.abspath(filePath))
coords = runDSS(filePath)
dss.run_command('Export Capacity ' + dssFileLoc + '/capacity.csv')
capacityData = pd.read_csv(dssFileLoc + '/capacity.csv')
coords.columns = ['Index', 'X', 'Y', 'radius']
capacityDF = pd.concat([coords, capacityData], axis=1)
fig, ax1 = plt.subplots()
ax1.set_xlabel('Distance From Source [Miles]')
ax1.set_ylabel('Power [kW]')
ax1.scatter(capacityDF['radius'], capacityData[' kW'], label='Power')
ax2 = ax1.twinx()
ax2.set_ylabel('Maximum transformer percentage (One-side)')
ax2.scatter(capacityDF['radius'],
capacityDF.iloc[:, 2] + capacityDF.iloc[:, 3],
label='Transformer Loading',
color='red')
fig.tight_layout() # otherwise the right y-label is slightly clipped
fig.legend()
plt.savefig(dssFileLoc + '/Capacity Profile.png')
plt.clf()
def DSSrunsnap(dss, show=False):
dss.run_command('set mode=snap')
dss.run_command('Solve')
if show == True:
dss.run_command('show Powers kva Elements')
return dss
def capacityPlot(coords):
''' Plot power vs. distance '''
dss.run_command('Export Capacity capacity.csv')
capacityData = pd.read_csv('capacity.csv')
coords.columns = ['Index', 'X', 'Y', 'radius']
capacityDF = pd.concat([coords, capacityData], axis=1)
plt.scatter(capacityDF['radius'], capacityData[' kW'])
plt.xlabel('Distance [m]')
plt.ylabel('Power [kW]')
plt.savefig('PowerLoad.png')
plt.clf()
plt.scatter(capacityDF['radius'], capacityData[' Imax'])
plt.xlabel('Distance [m]')
plt.ylabel('Current [Amps]')
plt.savefig('CurrentLoad.png')
plt.clf()
plt.scatter(capacityDF['radius'],
capacityDF.iloc[:, 2] + capacityDF.iloc[:, 3])
plt.xlabel('Distance [m]')
plt.ylabel('Maximum transformer percentage (One-side)')
plt.savefig('CurrentLoad.png')
plt.clf()
packagePlots('capacityPlots')