def test_GBreducednetwork():
net = pn.GBreducednetwork()
pp.runpp(net)
assert len(net.bus) == 29
assert len(net.line) + len(net.trafo) == 99
assert len(net.ext_grid) + len(net.gen) + len(net.sgen) == 66
assert net.converged
def test_GBreducednetwork():
net = pn.GBreducednetwork()
assert net.converged
pp.runpp(net, trafo_model='pi')
assert len(net.bus) == 29
assert len(net.line) + len(net.trafo) == 99
n_gen = 66
assert len(net.ext_grid) + len(net.gen) + len(net.sgen) == n_gen
assert len(net.polynomial_cost) == n_gen
assert net.converged
def test_GBreducednetwork():
net = pn.GBreducednetwork()
assert net.converged
_ppc_element_test(net, 29, 99, 66, True)
@author: thomasjhojlunddodd
"""
print("The program started successfully")
#============= IMPORTING RELEVANT MODULES
import pandapower as pp
import numpy as np
import pandapower.networks as pn
import csv
import pandas as pd
#============= IMPORTING RELEVANT NETWORK MODEL
net = pn.GBreducednetwork()
#============= CREATING CSV IN WHICH MODEL DATA IS INPUTTED
with open('/Users/thomasjhojlunddodd/desktop/results.csv', 'a',
newline='') as file:
writer = csv.writer(file)
writer.writerow(["index_number", "failures", "total_excess_load"])
#============= RUNNING MODEL SIMULATIONS
x = range(0, ((len(net.res_line.index)) - 1)) #1975 # 160-180 good tester
for i in x:
try:
#net.load.scaling = 1.55
#net.gen.scaling = 1.55
