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test.py
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### test function
import PGSimulator as pgs
### init empty network
print(pgs)
net = pgs.PGSimulator()
print(net.get_network())
## init optimizers
opt_CMA = pgs.Optimizer(opt = ["CMA"], budget = [5000], num_worker = 1)
opt_CMA_30 = pgs.Optimizer(opt = ["CMA"], budget = [5000], num_worker = 30)
opt_NGOpt = pgs.Optimizer(opt = ["NGOpt"], budget = [7000], num_worker = 1)
### load dataset on matlab
"""
Case3_lmdb
"""
print("CASE 3")
net.set_data_matlab("PGSimulator/data/pglib-opf/pglib_opf_case3_lmbd.m")
#print(net.get_network_data())
### Optimization
#print(net.optimizePG(loss_type = "fuel_cost"))
print(net.optimizePG(optimizer = opt_NGOpt, loss_type = "fuel_cost", step = 100, plot="default"))
#Default optimizer (OnePlusOne)
#print(net.optimizePG(loss_type = "fuel_cost"))
"""
case5_pjm
"""
print("CASE 5")
net.set_data_matlab("PGSimulator/data/pglib-opf/pglib_opf_case5_pjm.m")
#print(net.get_network_data())
### Optimization
#print(net.optimizePG(loss_type = "fuel_cost"))
print(net.optimizePG(optimizer = opt_NGOpt, loss_type = "fuel_cost", step = 100, plot="default"))
#Default optimizer (OnePlusOne)
#print(net.optimizePG(loss_type = "fuel_cost"))
"""
case14_ieee
"""
print("CASE 14")
net.set_data_matlab("PGSimulator/data/pglib-opf/pglib_opf_case14_ieee.m")
#print(net.get_network_data())
### Optimization
#print(net.optimizePG(loss_type = "fuel_cost"))
print(net.optimizePG(optimizer = opt_NGOpt, loss_type = "fuel_cost", step = 100, plot="default"))
#Default optimizer (OnePlusOne)
#print(net.optimizePG(loss_type = "fuel_cost"))
### Test unitaire des fonctions
#print(net.AC_power(net.get_network().get_buses()[0]))