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pd2ppc_zero.py
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pd2ppc_zero.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 math
import numpy as np
import copy
import pandas as pd
from packaging import version
import pandapower.auxiliary as aux
from pandapower.pd2ppc import _init_ppc
from pandapower.build_bus import _build_bus_ppc
from pandapower.build_gen import _build_gen_ppc
from pandapower.pd2ppc import _ppc2ppci
from pandapower.pypower.idx_brch import BR_B, BR_R, BR_X, F_BUS, T_BUS, branch_cols, BR_STATUS, \
SHIFT, TAP
from pandapower.pypower.idx_bus import BASE_KV, BS, GS
from pandapower.build_branch import _calc_tap_from_dataframe, _transformer_correction_factor, \
_calc_nominal_ratio_from_dataframe
from pandapower.build_branch import _switch_branches, _branches_with_oos_buses, \
_initialize_branch_lookup
def _pd2ppc_zero(net):
"""
Builds the ppc data structure for zero impedance system. Includes the impedance values of
lines and transformers, but no load or generation data.
For short-circuit calculation, the short-circuit impedance of external grids is also considered.
"""
# select elements in service (time consuming, so we do it once)
net["_is_elements"] = aux._select_is_elements_numba(net)
ppc = _init_ppc(net)
_build_bus_ppc(net, ppc)
_build_gen_ppc(net, ppc)
_add_ext_grid_sc_impedance_zero(net, ppc)
_build_branch_ppc_zero(net, ppc)
# adds auxilary buses for open switches at branches
_switch_branches(net, ppc)
# add auxilary buses for out of service buses at in service lines.
# Also sets lines out of service if they are connected to two out of service buses
_branches_with_oos_buses(net, ppc)
if hasattr(net, "_isolated_buses"):
ppc["bus"][net._isolated_buses, 1] = 4.
# generates "internal" ppci format (for powerflow calc) from "external" ppc format and updates
# the bus lookup
# Note: Also reorders buses and gens in ppc
ppci = _ppc2ppci(ppc, net)
net._ppc0 = ppc
return ppc, ppci
def _build_branch_ppc_zero(net, ppc):
"""
Takes the empty ppc network and fills it with the zero imepdance branch values. The branch
datatype will be np.complex 128 afterwards.
.. note:: The order of branches in the ppc is:
1. Lines
2. Transformers
**INPUT**:
**net** -The pandapower format network
**ppc** - The PYPOWER format network to fill in values
"""
length = _initialize_branch_lookup(net)
lookup = net._pd2ppc_lookups["branch"]
mode = net._options["mode"]
ppc["branch"] = np.zeros(shape=(length, branch_cols), dtype=np.complex128)
if mode == "sc":
from pandapower.shortcircuit.idx_brch import branch_cols_sc
branch_sc = np.empty(shape=(length, branch_cols_sc), dtype=float)
branch_sc.fill(np.nan)
ppc["branch"] = np.hstack((ppc["branch"], branch_sc))
ppc["branch"][:, :13] = np.array([0, 0, 0, 0, 0, 250, 250, 250, 1, 0, 1, -360, 360])
_add_line_sc_impedance_zero(net, ppc)
_add_trafo_sc_impedance_zero(net, ppc)
if "trafo3w" in lookup:
raise NotImplemented(
"Three winding transformers are not implemented for unbalanced calculations")
def _add_trafo_sc_impedance_zero(net, ppc, trafo_df=None):
if trafo_df is None:
trafo_df = net["trafo"]
branch_lookup = net["_pd2ppc_lookups"]["branch"]
if not "trafo" in branch_lookup:
return
mode = net["_options"]["mode"]
f, t = branch_lookup["trafo"]
trafo_df["_ppc_idx"] = range(f, t)
bus_lookup = net["_pd2ppc_lookups"]["bus"]
buses_all, gs_all, bs_all = np.array([], dtype=int), np.array([]), np.array([])
for vector_group, trafos in trafo_df.groupby("vector_group"):
ppc_idx = trafos["_ppc_idx"].values.astype(int)
ppc["branch"][ppc_idx, BR_STATUS] = 0
if vector_group in ["Yy", "Yd", "Dy", "Dd"]:
continue
vk_percent = trafos["vk_percent"].values.astype(float)
vkr_percent = trafos["vkr_percent"].values.astype(float)
sn_mva = trafos["sn_mva"].values.astype(float)
vk0_percent = trafos["vk0_percent"].values.astype(float)
vkr0_percent = trafos["vkr0_percent"].values.astype(float)
lv_buses = trafos["lv_bus"].values.astype(int)
hv_buses = trafos["hv_bus"].values.astype(int)
lv_buses_ppc = bus_lookup[lv_buses]
hv_buses_ppc = bus_lookup[hv_buses]
mag0_percent = trafos.mag0_percent.values.astype(float)
mag0_rx = trafos["mag0_rx"].values.astype(float)
si0_hv_partial = trafos.si0_hv_partial.values.astype(float)
parallel = trafos.parallel.values.astype(float)
in_service = trafos["in_service"].astype(int)
ppc["branch"][ppc_idx, F_BUS] = hv_buses_ppc
ppc["branch"][ppc_idx, T_BUS] = lv_buses_ppc
vn_trafo_hv, vn_trafo_lv, shift = _calc_tap_from_dataframe(net, trafos)
vn_lv = ppc["bus"][lv_buses_ppc, BASE_KV]
ratio = _calc_nominal_ratio_from_dataframe(ppc, trafos, vn_trafo_hv, vn_trafo_lv,
bus_lookup)
ppc["branch"][ppc_idx, TAP] = ratio
ppc["branch"][ppc_idx, SHIFT] = shift
# zero seq. transformer impedance
tap_lv = np.square(
vn_trafo_lv / vn_lv) * net.sn_mva # adjust for low voltage side voltage converter
z_sc = vk0_percent / 100. / sn_mva * tap_lv
r_sc = vkr0_percent / 100. / sn_mva * tap_lv
z_sc = z_sc.astype(float)
r_sc = r_sc.astype(float)
x_sc = np.sign(z_sc) * np.sqrt(z_sc ** 2 - r_sc ** 2)
z0_k = (r_sc + x_sc * 1j) / parallel
if mode == "sc":
from pandapower.shortcircuit.idx_bus import C_MAX
cmax = net._ppc["bus"][lv_buses_ppc, C_MAX]
kt = _transformer_correction_factor(vk_percent, vkr_percent, sn_mva, cmax)
z0_k *= kt
y0_k = 1 / z0_k
# zero sequence transformer magnetising impedance
z_m = vk0_percent * mag0_percent / 100. / sn_mva * tap_lv
x_m = z_m / np.sqrt(mag0_rx ** 2 + 1)
r_m = x_m * mag0_rx
r0_trafo_mag = r_m / parallel
x0_trafo_mag = x_m / parallel
z0_mag = r0_trafo_mag + x0_trafo_mag * 1j
if vector_group == "Dyn":
buses_all = np.hstack([buses_all, lv_buses_ppc])
gs_all = np.hstack([gs_all, y0_k.real * in_service])
bs_all = np.hstack([bs_all, y0_k.imag * in_service])
elif vector_group == "YNd":
buses_all = np.hstack([buses_all, hv_buses_ppc])
gs_all = np.hstack([gs_all, y0_k.real * in_service])
bs_all = np.hstack([bs_all, y0_k.imag * in_service])
elif vector_group == "Yyn":
buses_all = np.hstack([buses_all, lv_buses_ppc])
y = 1 / (z0_mag + z0_k).astype(complex)
gs_all = np.hstack([gs_all, y.real * in_service])
bs_all = np.hstack([bs_all, y.imag * in_service])
elif vector_group == "YNyn":
ppc["branch"][ppc_idx, BR_STATUS] = in_service
# convert the t model to pi model
z1 = si0_hv_partial * z0_k
z2 = (1 - si0_hv_partial) * z0_k
z3 = z0_mag
z_temp = z1 * z2 + z2 * z3 + z1 * z3
za = z_temp / z2
zb = z_temp / z1
zc = z_temp / z3
ppc["branch"][ppc_idx, BR_R] = zc.real
ppc["branch"][ppc_idx, BR_X] = zc.imag
y = 2 / za
ppc["branch"][ppc_idx, BR_B] = y.imag - y.real * 1j
# add a shunt element parallel to zb if the leakage impedance distribution is unequal
# TODO: this only necessary if si0_hv_partial!=0.5 --> test
zs = (za * zb) / (za - zb)
ys = 1 / zs.astype(complex)
buses_all = np.hstack([buses_all, lv_buses_ppc])
gs_all = np.hstack([gs_all, ys.real * in_service])
bs_all = np.hstack([bs_all, ys.imag * in_service])
elif vector_group == "YNy":
buses_all = np.hstack([buses_all, hv_buses_ppc])
y = 1 / (z0_mag + z0_k).astype(complex)
gs_all = np.hstack([gs_all, y.real * in_service])
bs_all = np.hstack([bs_all, y.imag * in_service])
elif vector_group[-1].isdigit():
raise ValueError(
"Unknown transformer vector group %s - please specify vector group without phase shift number. Phase shift can be specified in net.trafo.shift_degree" % vector_group)
else:
raise ValueError(
"Transformer vector group %s is unknown / not implemented" % vector_group)
buses, gs, bs = aux._sum_by_group(buses_all, gs_all, bs_all)
ppc["bus"][buses, GS] += gs
ppc["bus"][buses, BS] += bs
del net.trafo["_ppc_idx"]
def _add_ext_grid_sc_impedance_zero(net, ppc):
mode = net["_options"]["mode"]
if mode == "sc":
from pandapower.shortcircuit.idx_bus import C_MAX, C_MIN
case = net._options["case"]
else:
case = "max"
bus_lookup = net["_pd2ppc_lookups"]["bus"]
eg = net["ext_grid"][net._is_elements["ext_grid"]]
if len(eg) == 0:
return
eg_buses = eg.bus.values
eg_buses_ppc = bus_lookup[eg_buses]
if mode == "sc":
c = ppc["bus"][eg_buses_ppc, C_MAX] if case == "max" else ppc["bus"][eg_buses_ppc, C_MIN]
else:
c = 1.
if not "s_sc_%s_mva" % case in eg:
raise ValueError(
"short circuit apparent power s_sc_%s_mva needs to be specified for " % case +
"external grid")
s_sc = eg["s_sc_%s_mva" % case].values
if not "rx_%s" % case in eg:
raise ValueError("short circuit R/X rate rx_%s needs to be specified for external grid" %
case)
rx = eg["rx_%s" % case].values
z_grid = c / s_sc
x_grid = z_grid / np.sqrt(rx ** 2 + 1)
r_grid = rx * x_grid
eg["r"] = r_grid
eg["x"] = x_grid
# ext_grid zero sequence impedance
if case == "max":
x0_grid = net.ext_grid["x0x_%s" % case] * x_grid
r0_grid = net.ext_grid["r0x0_%s" % case] * x0_grid
elif case == "min":
x0_grid = net.ext_grid["x0x_%s" % case] * x_grid
r0_grid = net.ext_grid["r0x0_%s" % case] * x0_grid
r0_grid_np, x0_grid_np = r0_grid.values, x0_grid.values
y0_grid_np = 1 / (r0_grid_np + x0_grid_np * 1j)
buses, gs, bs = aux._sum_by_group(eg_buses_ppc, y0_grid_np.real, y0_grid_np.imag)
ppc["bus"][buses, GS] = gs
ppc["bus"][buses, BS] = bs
def _add_line_sc_impedance_zero(net, ppc):
branch_lookup = net["_pd2ppc_lookups"]["branch"]
if not "line" in branch_lookup:
return
line = net["line"]
bus_lookup = net["_pd2ppc_lookups"]["bus"]
length = line["length_km"].values
parallel = line["parallel"].values
fb = bus_lookup[line["from_bus"].values]
tb = bus_lookup[line["to_bus"].values]
baseR = np.square(ppc["bus"][fb, BASE_KV]) / net.sn_mva
f, t = branch_lookup["line"]
# line zero sequence impedance
ppc["branch"][f:t, F_BUS] = fb
ppc["branch"][f:t, T_BUS] = tb
ppc["branch"][f:t, BR_R] = line["r0_ohm_per_km"].values * length / baseR / parallel
ppc["branch"][f:t, BR_X] = line["x0_ohm_per_km"].values * length / baseR / parallel
ppc["branch"][f:t, BR_B] = (2 * net["f_hz"] * math.pi * line[
"c0_nf_per_km"].values * 1e-9 * baseR * length * parallel)
ppc["branch"][f:t, BR_STATUS] = line["in_service"].astype(int)