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