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test_costs_pwl.py
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test_costs_pwl.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_piecewise_linear_gen():
""" Testing a very simple network for the resulting cost value
constraints with OPF """
# boundaries:
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=0.05, max_p_mw=0.15, max_q_mvar=0.05,
min_q_mvar=-0.05)
pp.create_ext_grid(net, 0)
pp.create_load(net, 1, p_mw=0.02, controllable=False)
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)
pp.create_pwl_cost(net, 0, "gen", [[0, 75, 1.5], [75, 150, 1.5]])
pp.runopp(net)
assert net["OPF_converged"]
assert np.isclose(net.res_cost, net.res_gen.p_mw.values * 1.5, atol=1e-3)
def test_cost_piecewise_linear_eg():
""" Testing a very simple network for the resulting cost value
constraints with OPF """
# boundaries:
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=10)
pp.create_ext_grid(net, 0, min_p_mw=0, max_p_mw=0.050)
pp.create_gen(net, 1, p_mw=0.01, min_p_mw=0, max_p_mw=0.050, controllable=True)
# pp.create_ext_grid(net, 0)
pp.create_load(net, 1, p_mw=0.02, controllable=False)
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)
pp.create_pwl_cost(net, 0, "ext_grid", [[0, 50, -10]])
# run OPF
pp.runopp(net)
assert net["OPF_converged"]
assert np.isclose(net.res_cost, -10*net.res_ext_grid.p_mw.values)
def test_get_costs():
""" Testing a very simple network for the resulting cost value
constraints with OPF """
# boundaries:
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=0.05, max_p_mw=0.15, max_q_mvar=0.05,
min_q_mvar=-0.05)
pp.create_ext_grid(net, 0)
pp.create_load(net, 1, p_mw=0.02, controllable=False)
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)
pp.create_pwl_cost(net, 0, "gen", [[0, 150, 2]])
# run OPF
pp.runopp(net)
assert net["OPF_converged"]
assert net.res_gen.p_mw.values[0] - net.gen.min_p_mw.values[0] < 1e-2
assert net.res_cost == 2 * net.res_gen.p_mw.values
# check and assert result
def test_cost_piecewise_linear_sgen():
""" Testing a very simple network for the resulting cost value
constraints with OPF """
# boundaries:
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_sgen(net, 1, p_mw=0.1, controllable=True, min_p_mw=0.05, max_p_mw=0.15, max_q_mvar=0.05,
min_q_mvar=-0.05)
pp.create_ext_grid(net, 0)
pp.create_load(net, 1, p_mw=0.02, controllable=False)
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)
pp.create_pwl_cost(net, 0, "sgen", [[0, 150, 2]])
# run OPF
pp.runopp(net)
assert net["OPF_converged"]
assert net.res_sgen.p_mw.values[0] - net.sgen.min_p_mw.values[0] < 1e-2
assert net.res_cost == 2 * net.res_sgen.p_mw.values
def test_cost_piecewise_linear_load():
""" Testing a very simple network for the resulting cost value
constraints with OPF """
# boundaries:
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_load(net, 1, p_mw=0.1, controllable=True, max_p_mw=0.15, min_p_mw=0.050, max_q_mvar=0,
min_q_mvar=0)
pp.create_ext_grid(net, 0)
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)
pp.create_pwl_cost(net, 0, "load", [[0, 75, 1.5], [75, 150, 1.5]])
pp.runopp(net)
assert net["OPF_converged"]
assert abs(net.res_cost - net.res_load.p_mw.values * 1.5) < 1e-3
def test_cost_piecewise_linear_sgen_uneven_slopes():
""" Testing a very simple network for the resulting cost value
constraints with OPF """
# boundaries:
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_sgen(net, 1, p_mw=0.1, controllable=True, min_p_mw=0.05, max_p_mw=0.15, max_q_mvar=0.05,
min_q_mvar=-0.05)
pp.create_ext_grid(net, 0)
pp.create_load(net, 1, p_mw=0.02, controllable=False)
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)
pp.create_pwl_cost(net, 0, "sgen", [[0, 75, 1.5], [75, 150, 1.5]])
# run OPF
pp.runopp(net)
assert net["OPF_converged"]
assert net.res_cost - net.res_sgen.p_mw.values * 1.5 < 1e-3
def test_cost_piecewise_linear_load_uneven_slopes():
""" Testing a very simple network for the resulting cost value
constraints with OPF """
# boundaries:
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_load(net, 1, p_mw=0.050)
pp.create_ext_grid(net, 0)
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)
pp.create_pwl_cost(net, 0, "ext_grid", [(0, 0.075, 1), (0.075, 150, 2)])
pp.runopp(net)
assert net["OPF_converged"]
assert np.isclose(net.res_cost, net.res_ext_grid.p_mw.values[0])
net.load.p_mw = 0.1
pp.runopp(net)
assert np.isclose(net.res_cost, (0.075 + 2*(net.res_ext_grid.p_mw.values[0] - 0.075)), rtol=1e-2)
def test_cost_piecewise_linear_sgen_very_unsteady_slopes():
""" Testing a very simple network for the resulting cost value
constraints with OPF """
# boundaries:
vm_max = 1.5
vm_min = 0.5
# 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_sgen(net, 1, p_mw=0.10, controllable=True, min_p_mw=0, max_p_mw=1.50,
max_q_mvar=0.05, min_q_mvar=-0.05)
pp.create_ext_grid(net, 0)
pp.create_load(net, 1, p_mw=0.02, controllable=False)
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)
pp.create_pwl_cost(net, 0, "sgen", [[0, 0.75, -1], [0.75, 1500, 2]])
# run OPF
pp.runopp(net)
assert net["OPF_converged"]
assert np.isclose(net.res_sgen.p_mw.values[0], .75, rtol=1e-2)
assert np.isclose(net.res_sgen.p_mw.values[0], -net.res_cost, rtol=1e-2)
if __name__ == "__main__":
logger = logging.getLogger(__name__)
logger.setLevel("DEBUG")
pytest.main(["-xs"])