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test_costs_mixed.py
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test_costs_mixed.py
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# -*- coding: utf-8 -*-
# Copyright (c) 2016-2020 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
import numpy as np
import pytest
import pandapower as pp
try:
import pplog as logging
except ImportError:
import logging
def test_cost_mixed():
""" Testing a very simple network for the resulting cost value
constraints with OPF """
vm_max = 1.05
vm_min = 0.95
# create net
net = pp.create_empty_network()
pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.)
pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4)
pp.create_gen(net, 1, p_mw=-0.1, controllable=True, min_p_mw=0.005, max_p_mw=0.15, max_q_mvar=.05,
min_q_mvar=-.05)
pp.create_ext_grid(net, 0)
pp.create_load(net, 1, p_mw=0.02, controllable=False, max_q_mvar=.05, max_p_mw=0.1, min_p_mw=0.0050,
min_q_mvar=-.05)
pp.create_line_from_parameters(net, 0, 1, 50, name="line2", r_ohm_per_km=0.876,
c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876,
max_loading_percent=100 * 690)
# testing some combinations
pp.create_poly_cost(net, 0, "gen", cp1_eur_per_mw=1)
pp.runopp(net)
assert net["OPF_converged"]
assert np.isclose(net.res_cost, net.res_gen.p_mw.values[0])
net.poly_cost.cp1_eur_per_mw.at[0] = 0
net.poly_cost.cp2_eur_per_mw2.at[0] = 1
pp.runopp(net)
assert net["OPF_converged"]
assert np.isclose(net.res_cost, net.res_gen.p_mw.values**2)
net.poly_cost.cp0_eur.at[0] = 1
pp.runopp(net)
assert net["OPF_converged"]
assert np.isclose(net.res_cost, net.res_gen.p_mw.values**2 + 1)
net.load.controllable.at[0] = True
pp.runopp(net)
assert np.isclose(net.res_cost, net.res_gen.p_mw.values ** 2 + 1)
net.load.controllable.at[0] = False
net.pwl_cost.drop(net.pwl_cost.index, inplace=True)
pp.create_pwl_cost(net, 0, "ext_grid", [[-1000, 0, -2000], [0, 1000, 2000]], power_type="p")
net.poly_cost.cp1_eur_per_mw.at[0] = 1000
net.poly_cost.cp2_eur_per_mw2.at[0] = 0
pp.runopp(net)
assert np.isclose(net.res_ext_grid.p_mw.values[0], 0, atol=1e-4)
assert np.isclose(net.res_cost, net.res_gen.p_mw.values[0]*1000, atol=1e-3)
def test_mixed_p_q_pol():
vm_max = 1.05
vm_min = 0.95
# create net
net = pp.create_empty_network()
pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.)
pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4)
pp.create_gen(net, 1, p_mw=0.1, controllable=True, min_p_mw=0.005, max_p_mw=0.15, max_q_mvar=.05,
min_q_mvar=-.05)
pp.create_ext_grid(net, 0)
pp.create_load(net, 1, p_mw=0.02, controllable=False, max_q_mvar=.05, max_p_mw=0.1, min_p_mw=0.0050,
min_q_mvar=-.05)
pp.create_line_from_parameters(net, 0, 1, 50, name="line2", r_ohm_per_km=0.876,
c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876,
max_loading_percent=100 * 690)
# testing some combinations
pp.create_poly_cost(net, 0, "gen", cp1_eur_per_mw=1, cq1_eur_per_mvar=1)
pp.runopp(net)
assert net["OPF_converged"]
assert np.isclose(net.res_cost, (net.res_gen.p_mw.values + net.res_gen.q_mvar.values))
def test_mixed_p_q_pwl():
vm_max = 1.05
vm_min = 0.95
# create net
net = pp.create_empty_network()
pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.)
pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4)
pp.create_gen(net, 1, p_mw=0.1, controllable=True, min_p_mw=0.005, max_p_mw=0.15, max_q_mvar=.05,
min_q_mvar=-.05)
pp.create_ext_grid(net, 0)
pp.create_load(net, 1, p_mw=0.02, controllable=False, max_q_mvar=.05, max_p_mw=0.1, min_p_mw=0.005,
min_q_mvar=-.05)
pp.create_line_from_parameters(net, 0, 1, 50, name="line2", r_ohm_per_km=0.876,
c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876,
max_loading_percent=100 * 690)
# testing some combinations
pp.create_pwl_cost(net, 0, "gen", [[-150, 150, 1]])
pp.create_pwl_cost(net, 0, "gen", [[-150, 150, 1]], power_type="q")
pp.runopp(net)
assert net["OPF_converged"]
assert np.allclose(net.res_cost, net.res_gen.p_mw.values + net.res_gen.q_mvar.values)
if __name__ == "__main__":
logger = logging.getLogger(__name__)
logger.setLevel("DEBUG")
# vm_max = 1.05
# vm_min = 0.95
#
# # create net
# net = pp.create_empty_network()
# pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=10.)
# pp.create_bus(net, max_vm_pu=vm_max, min_vm_pu=vm_min, vn_kv=.4)
# pp.create_gen(net, 1, p_mw=-0.1, controllable=True, min_p_mw=0.005, max_p_mw=0.15, max_q_mvar=.05,
# min_q_mvar=-.05)
# pp.create_ext_grid(net, 0)
# pp.create_load(net, 1, p_mw=0.02, controllable=False, max_q_mvar=.05, max_p_mw=0.1, min_p_mw=0.0050,
# min_q_mvar=-.05)
# pp.create_line_from_parameters(net, 0, 1, 50, name="line2", r_ohm_per_km=0.876,
# c_nf_per_km=260.0, max_i_ka=0.123, x_ohm_per_km=0.1159876,
# max_loading_percent=100 * 690)
#
# # testing some combinations
# pp.create_poly_cost(net, 0, "gen", cp1_eur_per_mw=1)
# pp.runopp(net)
# assert net["OPF_converged"]
# assert net.res_cost == net.res_gen.p_mw.values[0]
#
# net.poly_cost.cp1_eur_per_mw.at[0] = 0
# net.poly_cost.cp2_eur_per_mw2.at[0] = 1
# pp.runopp(net)
# assert net["OPF_converged"]
# assert np.isclose(net.res_cost, net.res_gen.p_mw.values**2)
#
# net.poly_cost.cp0_eur.at[0] = 1
# pp.runopp(net)
# assert net["OPF_converged"]
# assert np.isclose(net.res_cost, net.res_gen.p_mw.values**2 + 1)
#
# net.load.controllable.at[0] = True
# pp.runopp(net)
# assert np.isclose(net.res_cost, net.res_gen.p_mw.values ** 2 + 1)
#
# net.load.controllable.at[0] = False
# net.pwl_cost.drop(net.pwl_cost.index, inplace=True)
# pp.create_pwl_cost(net, 0, "ext_grid", [[-1000, 0, -2000], [0, 1000, 2000]], power_type="p")
#
# net.poly_cost.cp1_eur_per_mw.at[0] = 1000
# net.poly_cost.cp2_eur_per_mw2.at[0] = 0
# pp.runopp(net)
# assert np.isclose(net.res_ext_grid.p_mw.values[0], 0, atol=1e-4)
# assert np.isclose(net.res_cost, net.res_gen.p_mw.values[0]*1000, atol=1e-3)
pytest.main([__file__, "-xs"])