Commit 3ffe6cb4 authored by Markus Mirz's avatar Markus Mirz

udpate

parent 7c0dd646
......@@ -23,3 +23,38 @@ def complex_abs(name, real, imag):
ts_abs = TimeSeries(name, real.time, np.sqrt(real.values ** 2 + imag.values ** 2))
return ts_abs
def dyn_phasor_shift_to_emt(name, real, imag, freq):
""" Shift dynamic phasor values to EMT by frequency freq.
Assumes the same time steps for both timeseries.
"""
ts_shift = TimeSeries(name, real.time, real.values*np.cos(2*np.pi*freq*real.time) - imag.values*np.sin(2*np.pi*freq*real.time))
return ts_shift
def check_node_number_comp(ts_comp, node):
"""
Check if node number is available in complex time series.
:param ts_comp: complex time series
:param node: node number to be checked
:return: true if node number is available, false if out of range
"""
ts_comp_length = len(ts_comp)
im_offset = int(ts_comp_length / 2)
if im_offset <= node or node < 0:
print('Complex node not available')
return false
else:
return true
def check_node_number(ts, node):
"""
Check if node number is available in time series.
:param ts: time series
:param node: node number to be checked
:return: true if node number is available, false if out of range
"""
ts_length = len(ts)
if ts_length <= node or node < 0:
print('Node not available')
return false
else:
return true
......@@ -6,8 +6,8 @@ import matplotlib.pyplot as plt
matplotlib.rcParams.update({'font.size': 8})
def plot_dpsim_abs_diff(filename1, label1, node1, filename2, label2, node2):
ts_dpsim1 = read_time_series_DPsim(filename1)
ts_dpsim2 = read_time_series_DPsim(filename2)
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)
......@@ -44,8 +44,8 @@ def plot_dpsim_abs_diff(filename1, label1, node1, filename2, label2, node2):
plt.show()
def plot_dpsim_abs(filename1, label1, node1, filename2, label2, node2):
ts_dpsim1 = read_time_series_DPsim(filename1)
ts_dpsim2 = read_time_series_DPsim(filename2)
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)
......@@ -79,8 +79,47 @@ def plot_dpsim_abs(filename1, label1, node1, filename2, label2, node2):
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_time_series_DPsim(filename)
ts_dpsim = read_timeseries_DPsim(filename)
ts_dpsim_length = len(ts_dpsim)
print('DPsim results file length:')
......
......@@ -9,7 +9,7 @@ def plot_timeseries(figure_id, timeseries, plt_linestyle='-'):
if not isinstance(timeseries, list):
plt.plot(timeseries.time, timeseries.values, linestyle=plt_linestyle, label=timeseries.label)
plt.gca().autoscale(axis='x', tight=True)
plt.legend()
plt.legend(loc='lower right')
else:
for ts in timeseries:
plt.subplot(len(timeseries), 1, timeseries.index(ts) + 1)
......
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