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results_gen.py
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/
results_gen.py
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# -*- coding: utf-8 -*-
# Copyright (c) 2016-2024 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
import numpy as np
from numpy import complex128
from pandapower.pypower.idx_bus import VM, VA,BASE_KV
from pandapower.pypower.idx_gen import PG, QG, GEN_BUS
from pandapower.auxiliary import _sum_by_group, sequence_to_phase, _sum_by_group_nvals, \
I_from_SV_elementwise, S_from_VI_elementwise, SVabc_from_SV012
from pandapower.auxiliary import _sum_by_group
from pandapower.pypower.idx_bus import VM, VA
from pandapower.pypower.idx_gen import PG, QG
def _get_gen_results(net, ppc, bus_lookup_aranged, pq_bus):
ac = net["_options"]["ac"]
eg_end = sum(net['ext_grid'].in_service)
gen_end = eg_end + len(net['gen'])
if eg_end > 0:
b, p, q = _get_ext_grid_results(net, ppc)
else:
b, p, q = [], [], [] # np.array([]), np.array([]), np.array([])
# get results for gens
if gen_end > eg_end:
b, p, q = _get_pp_gen_results(net, ppc, b, p, q)
if len(net.dcline) > 0:
_get_dcline_results(net)
b = np.hstack([b, net.dcline[["from_bus", "to_bus"]].values.flatten()])
p = np.hstack([p, net.res_dcline[["p_from_mw", "p_to_mw"]].values.flatten()])
q = np.hstack([q, net.res_dcline[["q_from_mvar", "q_to_mvar"]].values.flatten()])
if not ac:
q = np.zeros(len(p))
b_sum, p_sum, q_sum = _sum_by_group(b, p, q)
b = bus_lookup_aranged[b_sum.astype(np.int64)]
pq_bus[b, 0] -= p_sum
pq_bus[b, 1] -= q_sum
def _get_gen_results_3ph(net, ppc0, ppc1, ppc2, bus_lookup_aranged, pq_bus):
ac = net["_options"]["ac"]
eg_end = len(net['ext_grid'])
gen_end = eg_end + len(net['gen'][net['_is_elements']['gen']])
b, pA, qA, pB, qB, pC, qC = _get_ext_grid_results_3ph(net, ppc0, ppc1, ppc2)
# get results for gens
if gen_end > eg_end:
b, pA, qA, pB, qB, pC, qC = _get_pp_gen_results_3ph(net, ppc0, ppc1, ppc2, b, pA, qA, pB, qB, pC, qC)
if not ac:
qA, qB, qC = np.copy((np.zeros(len(pA)),)*3)
b_pp, pA_sum, qA_sum, pB_sum, qB_sum, pC_sum, qC_sum = _sum_by_group_nvals(b.astype(np.int64), pA, qA, pB, qB, pC, qC)
b_ppc = bus_lookup_aranged[b_pp]
pq_bus[b_ppc, 0] -= pA_sum
pq_bus[b_ppc, 1] -= qA_sum
pq_bus[b_ppc, 2] -= pB_sum
pq_bus[b_ppc, 3] -= qB_sum
pq_bus[b_ppc, 4] -= pC_sum
pq_bus[b_ppc, 5] -= qC_sum
def _get_ext_grid_results(net, ppc):
ac = net["_options"]["ac"]
# get results for external grids
eg_is_mask = net["_is_elements"]['ext_grid']
ext_grid_lookup = net["_pd2ppc_lookups"]["ext_grid"]
n_res_eg = len(net['ext_grid'])
# indices of in service gens in the ppc
eg_is_idx = net["ext_grid"].index.values[eg_is_mask]
gen_idx_ppc = ext_grid_lookup[eg_is_idx]
# read results from ppc for these buses
p = np.zeros(n_res_eg)
q = np.zeros(n_res_eg)
p[eg_is_mask] = ppc["gen"][gen_idx_ppc, PG]
# store result in net['res']
net["res_ext_grid"]["p_mw"] = p
# if ac PF q results are also available
if ac:
q[eg_is_mask] = ppc["gen"][gen_idx_ppc, QG]
net["res_ext_grid"]["q_mvar"] = q
# get bus values for pq_bus
b = net['ext_grid'].bus.values
# copy index for results
net["res_ext_grid"].index = net['ext_grid'].index
return b, p, q
def _get_ext_grid_results_3ph(net, ppc0, ppc1, ppc2):
# get results for external grids
eg_is_mask = net["_is_elements"]['ext_grid']
ext_grid_lookup = net["_pd2ppc_lookups"]["ext_grid"]
n_res_eg = len(net['ext_grid'])
# indices of in service gens in the ppc
eg_is_idx = net["ext_grid"].index.values[eg_is_mask]
eg_idx_ppc = ext_grid_lookup[eg_is_idx]
""" # 2 ext_grids Fix: Instead of the generator index, bus indices of the generators are used"""
eg_bus_idx_ppc = np.real(ppc1["gen"][eg_idx_ppc, GEN_BUS]).astype(np.int64)
# read results from ppc for these buses
V012 = np.array(np.zeros((3, n_res_eg)),dtype = np.complex128)
V012[:, eg_is_idx] = np.array([ppc["bus"][eg_bus_idx_ppc, VM] * ppc["bus"][eg_bus_idx_ppc, BASE_KV]
* np.exp(1j * np.deg2rad(ppc["bus"][eg_bus_idx_ppc, VA]))
for ppc in [ppc0, ppc1, ppc2]])
S012 = np.array(np.zeros((3, n_res_eg)),dtype = np.complex128)
S012[:, eg_idx_ppc] = np.array([(ppc["gen"][eg_idx_ppc, PG] + 1j \
* ppc["gen"][eg_idx_ppc, QG]) \
for ppc in [ppc0, ppc1, ppc2]])
Sabc, Vabc = SVabc_from_SV012(S012, V012 / np.sqrt(3), n_res=n_res_eg, idx=eg_idx_ppc)
pA, pB, pC = map(lambda x: x.flatten(), np.real(Sabc))
qA, qB, qC = map(lambda x: x.flatten(), np.imag(Sabc))
# store result in net['res']
net["res_ext_grid_3ph"]["p_a_mw"] = pA
net["res_ext_grid_3ph"]["p_b_mw"] = pB
net["res_ext_grid_3ph"]["p_c_mw"] = pC
net["res_ext_grid_3ph"]["q_a_mvar"] = qA
net["res_ext_grid_3ph"]["q_b_mvar"] = qB
net["res_ext_grid_3ph"]["q_c_mvar"] = qC
# get bus values for pq_bus
b = net['ext_grid'].bus.values
# copy index for results
net["res_ext_grid_3ph"].index = net['ext_grid'].index
return b, pA, qA, pB, qB, pC, qC
def _get_p_q_gen_results(net, ppc):
gen_is = net["_is_elements"]["gen"]
gen_lookup = net["_pd2ppc_lookups"]["gen"]
gen_is_idx = np.array(net["gen"].index)[gen_is]
# indices of in service gens in the ppc
if np.any(gen_is):
gen_idx_ppc = gen_lookup[gen_is_idx]
else:
gen_idx_ppc = []
# read results from ppc for these buses
n_res_gen = len(net['gen'])
p_gen = np.zeros(n_res_gen)
p_gen[gen_is] = ppc["gen"][gen_idx_ppc, PG]
q_gen = None
if net["_options"]["ac"]:
q_gen = np.zeros(n_res_gen)
q_gen[gen_is] = ppc["gen"][gen_idx_ppc, QG]
net["res_gen"]["q_mvar"].values[:] = q_gen
net["res_gen"]["p_mw"].values[:] = p_gen
return p_gen, q_gen
def _get_p_q_gen_results_3ph(net, ppc0, ppc1, ppc2):
_is_elements = net["_is_elements"]
ac = net["_options"]["ac"]
gen_is_mask = _is_elements['gen']
gen_lookup = net["_pd2ppc_lookups"]["gen"]
gen_is_idx = net["gen"].index[gen_is_mask]
# indices of in service gens in the ppc
if np.any(_is_elements["gen"]):
gen_idx_ppc = gen_lookup[gen_is_idx]
else:
gen_idx_ppc = []
# read results from ppc for these buses
n_res_gen = len(net['gen'])
gen_idx_ppc = gen_lookup[gen_is_idx]
""" # 2 ext_grids Fix: Instead of the generator index, bus indices of the generators are used"""
gen_bus_idx_ppc = np.real(ppc1["gen"][gen_idx_ppc, GEN_BUS]).astype(np.int64)
V012 = np.array(np.zeros((3, n_res_gen)))
V012[:, gen_is_idx] = np.array([ppc["bus"][gen_bus_idx_ppc, VM]
* np.exp(1j * np.deg2rad(ppc["bus"][gen_bus_idx_ppc, VA]))
for ppc in [ppc0, ppc1, ppc2]])
S012 = np.array(np.zeros((3, n_res_gen)))
S012[:, gen_is_idx] = np.array(
[-(ppc["gen"][gen_idx_ppc, PG] + 1j * ppc["gen"][gen_idx_ppc, QG]) for ppc in [ppc0, ppc1, ppc2]])
I012 = np.array(np.zeros((3, n_res_gen)))
I012[:, gen_is_idx] = I_from_SV_elementwise(S012[:, gen_is_idx], V012[:, gen_is_idx])
Vabc = sequence_to_phase(V012)
Iabc = sequence_to_phase(I012)
Sabc = S_from_VI_elementwise(Vabc, Iabc) * 1e3
pA, pB, pC = map(lambda x: x.flatten(), np.real(Sabc))
qA, qB, qC = map(lambda x: x.flatten(), np.imag(Sabc))
net["res_gen_3ph"]["p_a_mw"] = pA
net["res_gen_3ph"]["p_b_mw"] = pB
net["res_gen_3ph"]["p_c_mw"] = pC
net["res_gen_3ph"]["q_a_mvar"] = qA
net["res_gen_3ph"]["q_b_mvar"] = qB
net["res_gen_3ph"]["q_c_mvar"] = qC
return pA, qA, pB, qB, pC, qC
def _get_v_gen_resuts(net, ppc):
# lookups for ppc
bus_lookup = net["_pd2ppc_lookups"]["bus"]
# in service gens
gen_is = net["_is_elements"]['gen']
bus_idx_ppc = bus_lookup[net["gen"]["bus"].values[gen_is]]
n_res_gen = len(net['gen'])
# voltage magnitudes
v_pu = np.zeros(n_res_gen)
v_pu[gen_is] = ppc["bus"][bus_idx_ppc][:, VM]
# voltage angles
v_a = np.zeros(n_res_gen)
v_a[gen_is] = ppc["bus"][bus_idx_ppc][:, VA]
net["res_gen"]["vm_pu"].values[:] = v_pu
net["res_gen"]["va_degree"].values[:] = v_a
return v_pu, v_a
def _get_v_gen_results_3ph(net, ppc0, ppc1, ppc2):
# lookups for ppc
bus_lookup = net["_pd2ppc_lookups"]["bus"]
gen_lookup = net["_pd2ppc_lookups"]["gen"]
# in service gens
gen_is_mask = net["_is_elements"]['gen']
gen_is_idx = net["gen"].index[gen_is_mask]
bus_idx_ppc = bus_lookup[net["gen"]["bus"].values[gen_is_mask]]
n_res_gen = len(net['gen'])
gen_idx_ppc = gen_lookup[gen_is_idx]
""" # 2 ext_grids Fix: Instead of the generator index, bus indices of the generators are used"""
gen_bus_idx_ppc = np.real(ppc1["gen"][gen_idx_ppc, GEN_BUS]).astype(np.int64)
V012 = np.array(np.zeros((3, n_res_gen)))
V012[:, gen_is_mask] = np.array([ppc["bus"][gen_bus_idx_ppc, VM]
* np.exp(1j * np.deg2rad(ppc["bus"][gen_bus_idx_ppc, VA]))
for ppc in [ppc0, ppc1, ppc2]])
VABC = sequence_to_phase(V012)
# voltage magnitudes
vA_pu, vB_pu, vC_pu = np.copy((np.zeros(n_res_gen),) * 3)
vA_pu[gen_idx_ppc] = np.abs(VABC[0, gen_idx_ppc])
vB_pu[gen_idx_ppc] = np.abs(VABC[1, gen_idx_ppc])
vC_pu[gen_idx_ppc] = np.abs(VABC[2, gen_idx_ppc])
# voltage angles
vA_a, vB_a, vC_a = np.copy((np.zeros(n_res_gen),) * 3)
vA_a[gen_idx_ppc] = np.rad2deg(np.angle(VABC[0, gen_idx_ppc]))
vB_a[gen_idx_ppc] = np.rad2deg(np.angle(VABC[1, gen_idx_ppc]))
vC_a[gen_idx_ppc] = np.rad2deg(np.angle(VABC[2, gen_idx_ppc]))
net["res_gen_3ph"]["vmA_pu"] = vA_pu
net["res_gen_3ph"]["vmB_pu"] = vB_pu
net["res_gen_3ph"]["vmC_pu"] = vC_pu
net["res_gen_3ph"]["vaA_degree"] = vA_a
net["res_gen_3ph"]["vaB_degree"] = vB_a
net["res_gen_3ph"]["vaC_degree"] = vC_a
return vA_pu, vA_a, vB_pu, vB_a, vC_pu, vC_a
def _get_pp_gen_results(net, ppc, b, p, q):
p_gen, q_gen = _get_p_q_gen_results(net, ppc)
_get_v_gen_resuts(net, ppc)
b = np.hstack([b, net['gen'].bus.values])
p = np.hstack([p, p_gen])
if net["_options"]["ac"]:
q = np.hstack([q, q_gen])
return b, p, q
def _get_pp_gen_results_3ph(net, ppc0, ppc1, ppc2, b, pA, qA, pB, qB, pC, qC):
pA_gen, qA_gen, pB_gen, qB_gen, pC_gen, qC_gen = _get_p_q_gen_results_3ph(net, ppc0, ppc1, ppc2)
_get_v_gen_results_3ph(net, ppc0, ppc1, ppc2)
ac = net["_options"]["ac"]
net["res_gen_3ph"].index = net['gen'].index
b = np.hstack([b, net['gen'].bus.values])
pA = np.hstack([pA, pA_gen])
pB = np.hstack([pB, pB_gen])
pC = np.hstack([pC, pC_gen])
if ac:
qA = np.hstack([qA, qA_gen])
qB = np.hstack([qB, qB_gen])
qC = np.hstack([qC, qC_gen])
return b, pA, qA, pB, qB, pC, qC
def _get_dcline_results(net):
dc_gens = net.gen.index[(len(net.gen) - len(net.dcline) * 2):]
from_gens = net.res_gen.loc[dc_gens[1::2]]
to_gens = net.res_gen.loc[dc_gens[::2]]
net.res_dcline.p_from_mw = - from_gens.p_mw.values
net.res_dcline.p_to_mw = - to_gens.p_mw.values
net.res_dcline.pl_mw = - (to_gens.p_mw.values + from_gens.p_mw.values)
net.res_dcline.q_from_mvar = - from_gens.q_mvar.values
net.res_dcline.q_to_mvar = - to_gens.q_mvar.values
net.res_dcline.vm_from_pu = from_gens.vm_pu.values
net.res_dcline.vm_to_pu = to_gens.vm_pu.values
net.res_dcline.va_from_degree = from_gens.va_degree.values
net.res_dcline.va_to_degree = to_gens.va_degree.values
net.res_dcline.index = net.dcline.index