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Commit 9efcf2ad authored by Markus Mirz's avatar Markus Mirz
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removed old dpsim examples

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dataprocessing/plotdpsim.py deleted 100644 → 0
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from .readtools import *
from .plottools import *
from .calc import *
import matplotlib
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d
matplotlib.rcParams.update({'font.size': 8})
def plot_dpsim_abs_diff(filename1, label1, node1, filename2, label2, node2):
ts_dpsim1 = read_timeseries_DPsim(filename1)
ts_dpsim2 = read_timeseries_DPsim(filename2)
ts_dpsim1_length = len(ts_dpsim1)
im_offset1 = int(ts_dpsim1_length / 2)
if im_offset1 <= node1 or node1 < 0:
print('Node 1 not available')
exit()
ts_dpsim2_length = len(ts_dpsim2)
im_offset2 = int(ts_dpsim2_length / 2)
if im_offset2 <= node1 or node1 < 0:
print('Node 2 not available')
exit()
# this assumes same timestep for both simulations
ts_abs1 = complex_abs('node ' + str(node1) + 'abs', ts_dpsim1[node1], ts_dpsim1[node1 + im_offset1])
ts_abs1 = scale_ts(ts_abs1.name, ts_abs1, 0.001)
ts_abs1.label = label1
ts_abs2 = complex_abs('node ' + str(node2) + 'abs', ts_dpsim2[node1], ts_dpsim2[node1 + im_offset2])
ts_abs2 = scale_ts(ts_abs2.name, ts_abs2, 0.001)
ts_abs2.label = label2
ts_diff = diff('diff', ts_abs1, ts_abs2)
ts_diff.label = 'difference'
figure_id = 1
#plt.figure(figure_id)
plt.figure(figure_id, figsize=(12 / 2.54, 6 / 2.54), facecolor='w', edgecolor='k')
#plot_single_ts(figure_id, ts_abs1)
#plot_single_ts(figure_id, ts_abs2)
plot_single_ts(figure_id, ts_diff)
plt.xlabel('Time [s]')
plt.ylabel('Voltage [kV]')
plt.grid(True)
plt.tight_layout()
plt.show()
def plot_dpsim_abs(filename1, label1, node1, filename2, label2, node2):
ts_dpsim1 = read_timeseries_DPsim(filename1)
ts_dpsim2 = read_timeseries_DPsim(filename2)
ts_dpsim1_length = len(ts_dpsim1)
im_offset1 = int(ts_dpsim1_length / 2)
if im_offset1 <= node1 or node1 < 0:
print('Node 1 not available')
exit()
ts_dpsim2_length = len(ts_dpsim2)
im_offset2 = int(ts_dpsim2_length / 2)
if im_offset2 <= node1 or node1 < 0:
print('Node 2 not available')
exit()
# this assumes same timestep for both simulations
ts_abs1 = complex_abs('node ' + str(node1) + 'abs', ts_dpsim1[node1], ts_dpsim1[node1 + im_offset1])
ts_abs1 = scale_ts(ts_abs1.name, ts_abs1, 0.001)
ts_abs1.label = label1
ts_abs2 = complex_abs('node ' + str(node2) + 'abs', ts_dpsim2[node1], ts_dpsim2[node1 + im_offset2])
ts_abs2 = scale_ts(ts_abs2.name, ts_abs2, 0.001)
ts_abs2.label = label2
figure_id = 1
# plt.figure(figure_id)
plt.figure(figure_id, figsize=(12 / 2.54, 6 / 2.54), facecolor='w', edgecolor='k')
plot_single_ts(figure_id, ts_abs1)
plot_single_ts(figure_id, ts_abs2)
plt.xlabel('Time [s]')
plt.ylabel('Voltage [kV]')
plt.grid(True)
plt.tight_layout()
plt.show()
def plot_dpsim_emt_abs(filenameDP, nodeDP, filenameEMT, nodeEMT):
ts_dpsimDP = read_timeseries_DPsim(filenameDP)
ts_dpsimEMT = read_timeseries_DPsim(filenameEMT)
ts_dpsimDP_length = len(ts_dpsimDP)
im_offsetDP = int(ts_dpsimDP_length / 2)
if im_offsetDP <= nodeDP or nodeDP < 0:
print('Node DP not available')
exit()
ts_dpsimEMT_length = len(ts_dpsimEMT)
if ts_dpsimEMT_length <= nodeEMT or nodeEMT < 0:
print('Node EMT not available')
exit()
ts_absDP = complex_abs('node ' + str(nodeDP) + 'abs', ts_dpsimDP[nodeDP], ts_dpsimDP[nodeDP + im_offsetDP])
ts_absDP = scale_ts(ts_absDP.name, ts_absDP, 0.001)
ts_absDP.label = 'DP abs'
ts_shiftDP = dyn_phasor_shift_to_emt('node ' + str(nodeDP) + 'shift', ts_dpsimDP[nodeDP], ts_dpsimDP[nodeDP + im_offsetDP], 50)
ts_shiftDP = scale_ts(ts_shiftDP.name, ts_shiftDP, 0.001)
ts_shiftDP.label = 'DP shift'
ts_EMT = TimeSeries('node ' + str(nodeEMT), ts_dpsimEMT[nodeEMT].time, ts_dpsimEMT[nodeEMT].values)
ts_EMT = scale_ts(ts_EMT.name, ts_EMT, 0.001)
ts_EMT.label = 'EMT'
figure_id = 1
# plt.figure(figure_id)
plt.figure(figure_id, figsize=(12 / 2.54, 6 / 2.54), facecolor='w', edgecolor='k')
plot_timeseries(figure_id, ts_EMT)
plot_timeseries(figure_id, ts_absDP)
plot_timeseries(figure_id, ts_shiftDP)
plt.xlabel('Time [s]')
plt.ylabel('Voltage [kV]')
plt.grid(True)
plt.tight_layout()
plt.show()
def plot_dpsim_abs_single(filename, node):
ts_dpsim = read_timeseries_DPsim(filename)
ts_dpsim_length = len(ts_dpsim)
print('DPsim results file length:')
print(ts_dpsim_length)
for result in ts_dpsim:
print(result.name)
im_offset = int(ts_dpsim_length / 2)
if im_offset <= node or node < 0:
print('Node 1 not available')
exit()
abs1 = complex_abs('node ' + str(node) + 'abs', ts_dpsim[node], ts_dpsim[node + im_offset])
abs1.label = 'absolute'
figure_id = 1
plt.figure(figure_id)
plot_single_ts(figure_id, abs1)
plt.xlabel('Time [s]')
plt.ylabel('Voltage [V]')
plt.grid(True)
plt.show()
def plotNodeVoltageInterpDpRef(filenameRef, filenameDP, node):
node = node - 1
dfRef = pd.read_csv(filenameRef, header=None)
dfDP = pd.read_csv(filenameDP, header=None)
if (dfRef.shape[1] - 1) < node or node < 0:
print('Node not available')
exit()
if (dfDP.shape[1] - 1) / 2 < node or node < 0:
print('Node not available')
exit()
# Ref
timeRef = np.array(dfRef.ix[:, 0])
voltageRef = np.array(dfRef.ix[:, node + 1])
# DP interpolated
timeDP = np.array(dfDP.ix[:, 0])
voltageReDP = np.array(dfDP.ix[:, node + 1])
voltageImDP = np.array(dfDP.ix[:, int((dfDP.shape[1] - 1) / 2 + node + 1)])
interpTime = np.arange(dfDP.ix[0, 0], dfDP.ix[dfDP.shape[0] - 1, 0], 0.00005)
fVoltageRe = interp1d(timeDP, voltageReDP)
fVoltageIm = interp1d(timeDP, voltageImDP)
interpVoltageRe = fVoltageRe(interpTime)
interpVoltageIm = fVoltageIm(interpTime)
voltageShiftDPInterp = interpVoltageRe * np.cos(2 * np.pi * 50 * interpTime) - interpVoltageIm * np.sin(
2 * np.pi * 50 * interpTime)
voltageAbsDP = np.sqrt(voltageReDP ** 2 + voltageImDP ** 2)
fig, ax1 = plt.subplots()
ax1.plot(timeRef, voltageRef, 'm:', label='Ref')
ax1.plot(interpTime, voltageShiftDPInterp, 'b--', label='DP interp')
ax1.plot(timeDP, voltageAbsDP, 'r-', label='DP abs')
# Now add the legend with some customizations.
legend = ax1.legend(loc='lower right', shadow=True)
# The frame is matplotlib.patches.Rectangle instance surrounding the legend.
frame = legend.get_frame()
frame.set_facecolor('0.90')
ax1.set_xlabel('time [s]')
ax1.set_ylabel('mag [V]')
ax1.grid(True)
plt.show()
def plotNodeVoltageDpEmtRef(filenameRef, filenameDP, filenameEMT, node):
node = node - 1
dfRef = pd.read_csv(filenameRef, header=None)
dfEMT = pd.read_csv(filenameEMT, header=None)
dfDP = pd.read_csv(filenameDP, header=None)
if (dfRef.shape[1] - 1) < node or node < 0:
print('Node not available')
exit()
if (dfEMT.shape[1] - 1) < node or node < 0:
print('Node not available')
exit()
if (dfDP.shape[1] - 1) / 2 < node or node < 0:
print('Node not available')
exit()
# Ref
timeRef = np.array(dfRef.ix[:, 0])
voltageRef = np.array(dfRef.ix[:, node + 1])
# EMT
timeEMT = np.array(dfEMT.ix[:, 0])
voltageEMT = np.array(dfEMT.ix[:, node + 1])
# DP
timeDP = np.array(dfDP.ix[:, 0])
voltageReDP = np.array(dfDP.ix[:, node + 1])
voltageImDP = np.array(dfDP.ix[:, int((dfDP.shape[1] - 1) / 2 + node + 1)])
voltageAbsDP = np.sqrt(voltageReDP ** 2 + voltageImDP ** 2)
voltageShiftDP = voltageReDP * np.cos(2 * np.pi * 50 * timeDP) - voltageImDP * np.sin(2 * np.pi * 50 * timeDP)
fig, ax1 = plt.subplots()
ax1.plot(timeRef, voltageRef, 'm:', label='Ref')
ax1.plot(timeEMT, voltageEMT, 'g--', label='EMT')
ax1.plot(timeDP, voltageShiftDP, 'b--', label='DP shift')
ax1.plot(timeDP, voltageAbsDP, 'r-', label='DP abs')
# Now add the legend with some customizations.
legend = ax1.legend(loc='lower right', shadow=True)
# The frame is matplotlib.patches.Rectangle instance surrounding the legend.
frame = legend.get_frame()
frame.set_facecolor('0.90')
ax1.set_xlabel('time [s]')
ax1.set_ylabel('mag [V]')
ax1.grid(True)
plt.show()
def plotNodeVoltageDpEmt(filenameDP, filenameEMT, node):
node = node - 1
dfEMT = pd.read_csv(filenameEMT, header=None)
dfDP = pd.read_csv(filenameDP, header=None)
if (dfEMT.shape[1] - 1) < node or node < 0:
print('Node not available')
exit()
if (dfDP.shape[1] - 1) / 2 < node or node < 0:
print('Node not available')
exit()
# EMT
timeEMT = np.array(dfEMT.ix[:, 0])
voltageEMT = np.array(dfEMT.ix[:, node + 1])
# DP
timeDP = np.array(dfDP.ix[:, 0])
voltageReDP = np.array(dfDP.ix[:, node + 1])
voltageImDP = np.array(dfDP.ix[:, int((dfDP.shape[1] - 1) / 2 + node + 1)])
voltageAbsDP = np.sqrt(voltageReDP ** 2 + voltageImDP ** 2)
voltageShiftDP = voltageReDP * np.cos(2 * np.pi * 50 * timeDP) - voltageImDP * np.sin(2 * np.pi * 50 * timeDP)
fig, ax1 = plt.subplots()
ax1.plot(timeEMT, voltageEMT, 'g--', label='EMT')
ax1.plot(timeDP, voltageShiftDP, 'b--', label='DP shift')
ax1.plot(timeDP, voltageAbsDP, 'r-', label='DP abs')
# Now add the legend with some customizations.
legend = ax1.legend(loc='lower right', shadow=True)
# The frame is matplotlib.patches.Rectangle instance surrounding the legend.
frame = legend.get_frame()
frame.set_facecolor('0.90')
ax1.set_xlabel('time [s]')
ax1.set_ylabel('mag [V]')
ax1.grid(True)
plt.show()
def plotEmtNodeResults(filename, node):
node = node - 1
df = pd.read_csv(filename, header=None)
print(df.shape)
if (df.shape[1] - 1) < node or node < 0:
print('Node not available')
exit()
time = np.array(df.ix[:, 0])
voltage = np.array(df.ix[:, node + 1])
fig, ax1 = plt.subplots()
ax1.plot(time, voltage, 'b-')
# plt.yticks(np.arange(-10, 10, 1.0))
ax1.set_xlabel('time [s]')
ax1.set_ylabel('mag [V] or [A]')
ax1.grid(True)
plt.show()
def plotNodeResults(filename, node):
node = node - 1
df = pd.read_csv(filename, header=None)
print(df.shape)
if (df.shape[1] - 1) / 2 < node or node < 0:
print('Node not available')
exit()
time = np.array(df.ix[:, 0])
voltageRe = np.array(df.ix[:, node + 1])
voltageIm = np.array(df.ix[:, int((df.shape[1] - 1) / 2 + node + 1)])
voltage = np.sqrt(voltageRe ** 2 + voltageIm ** 2)
voltageEmt = voltageRe * np.cos(2 * np.pi * 50 * time) - voltageIm * np.sin(2 * np.pi * 50 * time)
fig, ax1 = plt.subplots()
ax1.plot(time, voltageEmt, 'b-', time, voltage, 'r-')
# plt.yticks(np.arange(-10, 10, 1.0))
ax1.set_xlabel('time [s]')
ax1.set_ylabel('mag [V] or [A]')
ax1.grid(True)
plt.show()
def plotInterpolatedNodeResults(filename, node):
node = node - 1
df = pd.read_csv(filename, header=None)
print(df.shape)
if (df.shape[1] - 1) / 2 < node or node < 0:
print('Node not available')
exit()
time = np.array(df.ix[:, 0])
voltageRe = np.array(df.ix[:, node + 1])
voltageIm = np.array(df.ix[:, int((df.shape[1] - 1) / 2 + node + 1)])
interpTime = np.arange(df.ix[0, 0], df.ix[df.shape[0] - 1, 0], 0.00005)
fVoltageRe = interp1d(time, voltageRe)
fVoltageIm = interp1d(time, voltageIm)
interpVoltageRe = fVoltageRe(interpTime)
interpVoltageIm = fVoltageIm(interpTime)
voltageMeas = np.sqrt(voltageRe ** 2 + voltageIm ** 2)
voltage = np.sqrt(interpVoltageRe ** 2 + interpVoltageIm ** 2)
voltageEmt = interpVoltageRe * np.cos(2 * np.pi * 50 * interpTime) - interpVoltageIm * np.sin(
2 * np.pi * 50 * interpTime)
fig, ax1 = plt.subplots()
ax1.plot(interpTime, voltageEmt, 'b-')
ax1.plot(time, voltageMeas, 'r-')
ax1.set_xlabel('time [s]')
ax1.set_ylabel('mag [V] or [A]')
ax1.grid(True)
plt.show()
def plotResultsInterfacedInductor(filename, node):
node = node - 1
df = pd.read_csv(filename, header=None)
print(df.shape)
if (df.shape[1] - 1) / 2 < node or node < 0:
print('Voltage not available')
exit()
time = np.array(df.ix[:, 0])
voltageRe = np.array(df.ix[:, node + 1])
voltageIm = np.array(df.ix[:, int((df.shape[1] - 1) / 2 + node + 1)])
voltage = np.sqrt(voltageRe ** 2 + voltageIm ** 2)
voltageEmt = voltageRe * np.cos(2 * np.pi * 50 * time) - voltageIm * np.sin(2 * np.pi * 50 * time)
fig, ax1 = plt.subplots()
ax1.plot(time, voltageEmt, 'b-', time, voltage, 'r-')
plt.yticks(np.arange(-10, 10, 1.0))
ax1.set_xlabel('time [s]')
ax1.set_ylabel('voltage [V]')
ax1.grid(True)
plt.show()
def plotResultsSynGenUnitTest(filename, node1, node2, node3):
node1 = node1 - 1
node2 = node2 - 1
node3 = node3 - 1
df = pd.read_csv(filename, header=None)
print(df.shape)
if (df.shape[1] - 1) / 2 < node1 or node1 < 0 or \
(df.shape[1] - 1) / 2 < node2 or node2 < 0 or \
(df.shape[1] - 1) / 2 < node3 or node3 < 0:
print('Voltage not available')
exit()
time = np.array(df.ix[:, 0])
mag1 = np.array(df.ix[:, node1 + 1])
mag2 = np.array(df.ix[:, node2 + 1])
mag3 = np.array(df.ix[:, node3 + 1])
fig, ax1 = plt.subplots()
ax1.plot(time, mag1, 'b-', time, mag2, 'r-', time, mag3, 'g-')
# ax1.plot(time, voltageEmt, 'b-', time, voltage, 'r-')
# plt.yticks(np.arange(-10, 10, 1.0))
ax1.set_xlabel('time [s]')
ax1.set_ylabel('Magnitude')
ax1.grid(True)
plt.show()
def plotResultsSynGenUnitTestVar(filename, varNum):
df = pd.read_csv(filename, header=None)
print(df.shape)
if (df.shape[1]) < varNum or varNum < 0:
print('Variable not available')
exit()
time = np.array(df.ix[:, 0])
mag = np.array(df.ix[:, varNum])
fig, ax1 = plt.subplots()
ax1.plot(time, mag, 'b-')
# plt.yticks(np.arange(-10, 10, 1.0))
ax1.set_xlabel('time [s]')
ax1.set_ylabel('Magnitude')
ax1.grid(True)
plt.show()
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