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rei_generation.py
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rei_generation.py
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from pandas.api.types import is_bool_dtype, is_numeric_dtype #, is_integer_dtype
import pandapower as pp
from pandapower.grid_equivalents.auxiliary import calc_zpbn_parameters, \
drop_internal_branch_elements, \
build_ppc_and_Ybus, drop_measurements_and_controllers, \
drop_and_edit_cost_functions, _runpp_except_voltage_angles, \
replace_motor_by_load
from pandapower.grid_equivalents.toolbox import get_connected_switch_buses_groups
from copy import deepcopy
import pandas as pd
import numpy as np
import operator
import time
import uuid
import re
from functools import reduce
try:
import pandaplan.core.pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
def _calculate_equivalent_Ybus(net_zpbn, bus_lookups, eq_type,
show_computing_time=False, **kwargs):
"""
The function orders the admittance matrix of the original network into
new format firstly, which is convenient for rei equivalent calculation.d
Then it calculates the equivalent admittance matrix of the given network
i: internal b: boundary e: external g: ground t: total
Ymat_trans =
[ Ybus_ii, Ybus_ib, 0 ] [Ybus_ii, Ybus_ib, 0 , 0 , 0 ]
[ Ybus_bi, Ybus_bb, Ybus_be ] = _________________ _________________
[ 0 , Ybus_eb, Ybus_ee ] [Ybus_bi, |Ybus_bb , 0 |, | 0 , Ybus_be| ]
| | | |
[ 0 , | 0 ,Ybus_tt|, |Ybus_tg, 0 | ]
|________________| |________________|
_________________ _________________
[ 0 , | 0 ,Ybus_gt|, |Ybus_gg, Ybus_ge| ]
[ 0 , |Ybus_eb , 0 |, |Ybus_eg, Ybus_ee| ]
|________________| |________________|
INPUT:
**net_zpbn** - zero power balance network (pandapower network)
**bus_lookups** (dict) - bus lookups
**eq_type** (str) - the equavalten type
OPTIONAL:
**check_validity** (bool, False) - TODO
OUTPUT:
**Ybus** - equivalent admittance matrix of the external network
"""
t_start = time.perf_counter()
# --- initialization
Ybus_origin = net_zpbn._ppc["internal"]["Ybus"].todense()
Ybus_sorted = net_zpbn._ppc["internal"]["Ybus"].todense()
bus_lookup_ppc = bus_lookups["bus_lookup_ppc"]
nb_dict = {}
for key in bus_lookup_ppc.keys():
if key != "b_area_buses_no_switch":
nb_dict["nb_"+key.split("_")[0]] = len(bus_lookup_ppc[key])
Ybus_buses = list(bus_lookup_ppc.values())
Ybus_new_sequence = reduce(operator.concat, Ybus_buses)
# --- transform Ybus_origin to Ybus_new according to the Ybus_new_sequence
for i in range(len(Ybus_new_sequence)):
for j in range(len(Ybus_new_sequence)):
# --- if xward, put very large admittance at the diagonals (PV-bus) of Ybus
if eq_type == "xward" and i >= nb_dict["nb_i"]+nb_dict["nb_b"] and \
i == j and Ybus_new_sequence[i] in net_zpbn._ppc["gen"][:, 0]:
Ybus_sorted[i, j] = 1e8
else:
Ybus_sorted[i, j] = Ybus_origin[Ybus_new_sequence[i], Ybus_new_sequence[j]]
# --- calculate calculate equivalent Ybus and equivalent Ybus without_internals
Ybus_bb = Ybus_sorted[nb_dict["nb_i"]:(nb_dict["nb_i"] + nb_dict["nb_b"] + nb_dict["nb_t"]),
nb_dict["nb_i"]:(nb_dict["nb_i"] + nb_dict["nb_b"] + nb_dict["nb_t"])]
Ybus_ee = Ybus_sorted[-(nb_dict["nb_e"] + nb_dict["nb_g"]):,
-(nb_dict["nb_e"] + nb_dict["nb_g"]):]
Ybus_eb = Ybus_sorted[-(nb_dict["nb_e"] + nb_dict["nb_g"]):,
nb_dict["nb_i"]:(nb_dict["nb_i"] + nb_dict["nb_b"] + nb_dict["nb_t"])]
Ybus_be = Ybus_eb.T
try:
inverse_Ybus_ee = np.linalg.inv(Ybus_ee)
except np.linalg.LinAlgError as err:
if 'Singular matrix' in str(err):
logger.debug("Ymat_ee is a singular martix, now try to compute the \
pseudo-inverse of the matrix.")
inverse_Ybus_ee = np.linalg.pinv(Ybus_ee)
Ybus_eq_boundary = Ybus_bb - (Ybus_be * inverse_Ybus_ee * Ybus_eb)
Ybus_eq = np.copy(Ybus_sorted[0: nb_dict["nb_i"] + nb_dict["nb_b"] + nb_dict["nb_t"],
0: nb_dict["nb_i"] + nb_dict["nb_b"] + nb_dict["nb_t"]])
Ybus_eq[-(nb_dict["nb_b"] + nb_dict["nb_t"]):, -(nb_dict["nb_b"] +
nb_dict["nb_t"]):] = Ybus_eq_boundary
t_end = time.perf_counter()
if show_computing_time:
logger.info("\"calculate_equivalent_Ybus\" finished in %s seconds:" % round((
t_end-t_start), 2))
return Ybus_eq
def adapt_impedance_params(Z, sign=1, adaption=1e-15):
"""
In some extreme cases, the created admittance matrix of the
zpbn network is singular. The routine is unsolvalbe with it.
In response, an impedance adaption is created and added.
"""
rft_pu = Z.real + sign*adaption
xft_pu = Z.imag + sign*adaption
return rft_pu, xft_pu
def _create_net_zpbn(net, boundary_buses, all_internal_buses, all_external_buses,
load_separate=False, sgen_separate=True, gen_separate=True,
show_computing_time=False, calc_volt_angles=True,
runpp_fct=_runpp_except_voltage_angles, **kwargs):
"""
The function builds the zero power balance network with
calculated impedance and voltage
INPUT:
**net** - pandapower network
**boundary_buses** (list) - boundary buses
**all_internal_buses** - all the internal buses
**all_external_buses** - all the external buses
OPTIONAL:
**load_separate** (bool, False) - flag if all the loads
are reserved integrally
**sgen_separate** (bool, True) - flag if all the DER are
reserved separately
**gen_separate** (bool, True) - flag if all the gens are
reserved separately
**tolerance_mva** (float, 1e-3) - loadflow termination
condition referring to P / Q mismatch of node power
in MVA. The loalflow hier is to get the admittance
matrix of the zpbn network
OUTPUT:
**net_zpbn** - zero power balance networks
"""
net_internal, net_external = _get_internal_and_external_nets(
net, boundary_buses, all_internal_buses, all_external_buses,
show_computing_time, calc_volt_angles=calc_volt_angles, runpp_fct=runpp_fct, **kwargs)
net_zpbn = net_external
# --- remove buses without power flow results in net_eq
pp.drop_buses(net_zpbn, net_zpbn.res_bus.index[net_zpbn.res_bus.vm_pu.isnull()])
Z, S, v, limits = calc_zpbn_parameters(net_zpbn, boundary_buses, all_external_buses)
# --- remove the original load, sgen and gen in exteranl area,
# and creat new buses and impedance
t_buses, g_buses = [], []
sn_mva = net_zpbn.sn_mva
for elm, separate in [("load", load_separate), ("sgen", sgen_separate), ("gen", gen_separate), ("ext_grid", False)]:
# in Z columns only gen, load and sgens are considered, so we can leave out ext_grid
net_zpbn[elm].drop(net_zpbn[elm].index[net_zpbn[elm].bus.isin(all_external_buses)], inplace=True)
if elm == "ext_grid":
continue
if not np.isnan(Z[elm+"_ground"].values).all():
if separate:
Z.drop([elm+"_integrated_total"], axis=1, inplace=True)
# add buses
idxs = Z.index[~np.isnan(Z[elm+"_ground"].values)]
vn_kvs = net_zpbn.bus.vn_kv[Z.ext_bus.loc[idxs]]
new_g_buses = pp.create_buses(net_zpbn, len(idxs), vn_kvs, name=[
"%s_separate-ground %s" % (elm, str(Z.ext_bus.loc[i])) for i in idxs])
new_t_buses = pp.create_buses(net_zpbn, len(idxs), vn_kvs, name=[
"%s_separate-total %s" % (elm, str(Z.ext_bus.loc[i])) for i in idxs],
max_vm_pu = limits.max_vm_pu.loc[idxs], min_vm_pu=limits.min_vm_pu.loc[idxs])
# add impedances
rft_pu_g, xft_pu_g = adapt_impedance_params(Z[elm+"_ground"].loc[idxs].values)
max_idx = net_zpbn.impedance.index.max() if net_zpbn.impedance.shape[0] else 0
new_imps_g = pd.DataFrame({
"from_bus": Z.ext_bus.loc[idxs].astype(np.int64).values, "to_bus": new_g_buses,
"rft_pu": rft_pu_g, "xft_pu": xft_pu_g,
"rtf_pu": rft_pu_g, "xtf_pu": xft_pu_g},
index=range(max_idx+1, max_idx+1+len(new_g_buses)))
new_imps_g["name"] = "eq_impedance_ext_to_ground"
new_imps_g["sn_mva"] = sn_mva
new_imps_g["in_service"] = True
rft_pu_t, xft_pu_t = adapt_impedance_params(Z[elm+"_separate_total"].loc[
idxs].values)
new_imps_t = pd.DataFrame({
"from_bus": new_g_buses, "to_bus": new_t_buses,
"rft_pu": rft_pu_t, "xft_pu": xft_pu_t,
"rtf_pu": rft_pu_t, "xtf_pu": xft_pu_t},
index=range(new_imps_g.index.max()+1,
new_imps_g.index.max()+1+len(new_g_buses)))
new_imps_t["name"] = "eq_impedance_ground_to_total"
new_imps_t["sn_mva"] = sn_mva
new_imps_t["in_service"] = True
net_zpbn["impedance"] = pd.concat([net_zpbn["impedance"], new_imps_g, new_imps_t])
g_buses += list(new_g_buses)
t_buses += list(new_t_buses)
else:
Z.drop([elm+"_separate_total"], axis=1, inplace=True)
vn_kv = net_zpbn.bus.vn_kv[all_external_buses].values[0]
new_g_bus = pp.create_bus(net_zpbn, vn_kv, name=elm+"_integrated-ground ")
i_all_integrated = []
for i in Z.index[~np.isnan(Z[elm+"_ground"].values)]:
rft_pu, xft_pu = adapt_impedance_params(Z[elm+"_ground"][i])
pp.create_impedance(net_zpbn, Z.ext_bus[i], new_g_bus, rft_pu, xft_pu,
sn_mva,name="eq_impedance_ext_to_ground")
i_all_integrated.append(i)
# in case of integrated, the tightest vm limits are assumed
ext_buses = Z.ext_bus[~np.isnan(Z[elm+"_ground"])].values
ext_buses_name = "/".join([str(eb) for eb in ext_buses])
new_t_bus = pp.create_bus(
net_zpbn, vn_kv, name=elm+"_integrated-total "+ext_buses_name,
max_vm_pu=limits.max_vm_pu.loc[i_all_integrated].min(),
min_vm_pu=limits.min_vm_pu.loc[i_all_integrated].max())
rft_pu, xft_pu = adapt_impedance_params(Z[elm+"_integrated_total"][0])
pp.create_impedance(net_zpbn, new_g_bus, new_t_bus, rft_pu, xft_pu,
sn_mva, name="eq_impedance_ground_to_total")
g_buses += [new_g_bus.tolist()]
t_buses += [new_t_bus.tolist()]
else:
Z.drop([elm+"_ground", elm+"_separate_total", elm+"_integrated_total"], axis=1,
inplace=True)
# --- create load, sgen and gen
elm_old = None
max_load_idx = max(-1, net.load.index[~net.load.bus.isin(all_external_buses)].max() - len(net_zpbn.load))
max_sgen_idx = max(-1, net.sgen.index[~net.sgen.bus.isin(all_external_buses)].max() - len(net_zpbn.sgen))
max_gen_idx = max(-1, net.gen.index[~net.gen.bus.isin(all_external_buses)].max() - len(net_zpbn.gen))
for i in t_buses:
busstr = net_zpbn.bus.name[i].split(" ")[1]
bus = int(busstr.split("/")[0])
key = net_zpbn.bus.name[i].split("-")[0]
elm = net_zpbn.bus.name[i].split("_")[0]
idx = S.index[S.ext_bus == bus].values[0]
P = S[key][idx].real * sn_mva
Q = S[key][idx].imag * sn_mva
Sn = S["sn_"+key][idx].real
if elm == "load":
elm_idx = pp.create_load(net_zpbn, i, -float(P), -float(Q), name=key+"_rei_"+busstr,
sn_mva=Sn, index=max_load_idx+len(net_zpbn.load)+1)
elif elm == "sgen":
elm_idx = pp.create_sgen(net_zpbn, i, float(P), float(Q), name=key+"_rei_"+busstr,
sn_mva=Sn, index=max_sgen_idx+len(net_zpbn.sgen)+1)
elif elm == "gen":
vm_pu = v[key+"_vm_total"][v.ext_bus == int(re.findall('\d+', busstr)[0])].values.real
elm_idx = pp.create_gen(net_zpbn, i, float(P), float(vm_pu), name=key+"_rei_"+busstr,
sn_mva=Sn, index=max_gen_idx+len(net_zpbn.gen)+1)
# ---- match other columns
elm_org = net[elm]
if elm_old is None or elm_old != elm:
other_cols = set(elm_org.columns) - \
{"name", "bus", "p_mw", "q_mvar", "sn_mva", "in_service", "scaling"}
other_cols_bool = set(
net[elm][list(other_cols)].columns[net[elm][list(other_cols)].apply(is_bool_dtype)])
other_cols -= other_cols_bool
other_cols_number = set(
net[elm][list(other_cols)].columns[
net[elm][list(other_cols)].apply(is_numeric_dtype)])
other_cols -= other_cols_number
other_cols_str = set()
other_cols_none = set()
other_cols_mixed = set()
for c in other_cols.copy():
value_types = net[elm][c][elm_org.bus.isin(all_external_buses)].apply(type).unique()
if len(value_types) > 1:
other_cols_mixed |= {c}
elif value_types[0] in (float, int):
other_cols_number |= {c}
elif value_types[0] == bool:
other_cols_bool |= {c}
elif value_types[0] == str:
other_cols_str |= {c}
else: # value_types[0] is None:
other_cols_none |= {c}
other_cols -= {c}
assert len(other_cols) == 0
if "integrated" in key:
if "voltLvl" in other_cols_number:
net_zpbn[elm].loc[elm_idx, "voltLvl"] = \
net_zpbn.bus.voltLvl[boundary_buses].max()
other_cols_number -= {"voltLvl"}
net_zpbn[elm].loc[elm_idx, list(other_cols_number)] = \
elm_org[list(other_cols_number)][elm_org.bus.isin(all_external_buses)].sum(axis=0)
net_zpbn[elm].loc[elm_idx, list(other_cols_bool)] = elm_org[list(other_cols_bool)][
elm_org.bus.isin(all_external_buses)].values.sum(axis=0) > 0
all_str_values = list(zip(*elm_org[list(other_cols_str)]\
[elm_org.bus.isin(all_external_buses)].values[::-1]))
for asv, colid in zip(all_str_values, other_cols_str):
if len(set(asv)) == 1:
net_zpbn[elm].loc[elm_idx, colid] = asv[0]
else:
net_zpbn[elm].loc[elm_idx, colid] = "//".join(asv)
net_zpbn[elm].loc[elm_idx, list(other_cols_none)] = None
for ocm in other_cols_mixed:
net_zpbn[elm][ocm] = net_zpbn[elm][ocm].astype("object")
net_zpbn[elm].loc[elm_idx, list(other_cols_mixed)] = "mixed data type"
else:
if elm == "gen" and bus in net.ext_grid.bus.values and \
net.ext_grid.in_service[net.ext_grid.bus == bus].values[0]:
net_zpbn[elm].name[elm_idx] = str(net.ext_grid.name[
net.ext_grid.bus == bus].values[0]) + "-" + net_zpbn[elm].name[elm_idx]
ext_grid_cols = list(set(elm_org.columns) & set(net.ext_grid.columns) - \
{"name", "bus", "p_mw", "sn_mva", "in_service", "scaling"})
net_zpbn[elm].loc[elm_idx, ext_grid_cols] = net.ext_grid[ext_grid_cols][
net.ext_grid.bus == bus].values[0]
else:
names = elm_org.name[elm_org.bus == bus].values
names = [str(n) for n in names]
net_zpbn[elm].name[elm_idx] = "//".join(names) + "-" + net_zpbn[elm].name[elm_idx]
if len(names) > 1:
net_zpbn[elm].loc[elm_idx, list(other_cols_number)] = \
elm_org[list(other_cols_number)][elm_org.bus == bus].sum(axis=0)
if "voltLvl" in other_cols_number:
net_zpbn[elm].loc[elm_idx, "voltLvl"] = \
net_zpbn.bus.voltLvl[boundary_buses].max()
net_zpbn[elm].loc[elm_idx, list(other_cols_bool)] = \
elm_org[list(other_cols_bool)][elm_org.bus == bus].values.sum(axis=0) > 0
all_str_values = list(zip(*elm_org[list(other_cols_str)]\
[elm_org.bus == bus].values[::-1]))
for asv, colid in zip(all_str_values, other_cols_str):
if len(set(asv)) == 1:
net_zpbn[elm].loc[elm_idx, colid] = asv[0]
else:
net_zpbn[elm].loc[elm_idx, colid] = "//".join(asv)
net_zpbn[elm].loc[elm_idx, list(other_cols_none)] = None
for ocm in other_cols_mixed:
net_zpbn[elm][ocm] = net_zpbn[elm][ocm].astype("object")
net_zpbn[elm].loc[elm_idx, list(other_cols_mixed)] = "mixed data type"
else:
net_zpbn[elm].loc[elm_idx, list(other_cols_bool | other_cols_number |
other_cols_str | other_cols_none)] = \
elm_org[list(other_cols_bool | other_cols_number |
other_cols_str | other_cols_none)][
elm_org.bus == bus].values[0]
net_zpbn[elm].loc[elm_idx, list(other_cols)] = elm_org[list(other_cols)][
elm_org.bus == bus].values[0]
elm_old = net_zpbn.bus.name[i].split("_")[0]
# --- match poly_cost to new created elements
for cost_elm in ["poly_cost", "pwl_cost"]:
if len(net[cost_elm]):
df = net_zpbn[cost_elm].copy()
df.et[(df.et == "ext_grid") &
(~df.bus.isin(boundary_buses))] = "gen"
df.et[(df.et.isin(["storage", "dcline"]) &
(~df.bus.isin(boundary_buses)))] = "load"
logger.debug("During the equivalencing, also in polt_cost, " +
"storages and dclines are treated as loads, and" +
"ext_grids are treated as gens ")
for elm in ["load", "gen", "sgen"]:
for idx in net_zpbn[elm].index:
if net_zpbn[elm].bus[idx] in boundary_buses:
continue
else:
pc_idx = df.index[df.et == elm]
if net_zpbn[elm].name.str.contains("integrated").any() and len(pc_idx):
logger.debug("Attention! After equivalencing, " + elm + "s are modeled as " +
"an aggregated " + elm + ". The " + cost_elm + " data of the first " +
"original " + elm + " is used as the " + cost_elm + " data of the " +
"aggregated " + elm + ". It is NOT correct at present.")
df.element[pc_idx[0]] = net_zpbn[elm].index[net_zpbn[elm].name.str.contains(
"integrated", na=False)][0]
df.drop(pc_idx[1:], inplace=True)
elif len(pc_idx):
related_bus = int(str(net_zpbn[elm].name[idx]).split("_")[-1])
pc_idx = df.index[(df.bus == related_bus) &
(df.et == elm)]
if len(pc_idx) > 1:
logger.debug("Attention! There are at least two " + elm + "s connected to a " +
"common bus. The " + elm + "s with commen bus are modeled as an " +
"aggreated " + elm + " during the equivalencing. " +
"The " + cost_elm + " data of the first " + elm + " is used as the " +
cost_elm + " data of the aggregated " + elm + ". " +
"It is NOT correct at present.")
pc_idx = df.index[(df.bus == related_bus) &
(df.et == elm)]
df.element[pc_idx[0]] = idx
df.drop(pc_idx[1:], inplace=True)
elif len(pc_idx) == 1:
df.element[pc_idx[0]] = idx
net_zpbn[cost_elm] = df
drop_and_edit_cost_functions(net_zpbn, [], False, True, False)
# pp.runpp(net_zpbn)
runpp_fct(net_zpbn, calculate_voltage_angles=calc_volt_angles,
tolerance_mva=1e-3, max_iteration=100, **kwargs)
return net_zpbn, net_internal, net_external
def _create_bus_lookups(net_zpbn, boundary_buses, all_internal_buses,
all_external_buses,
boundary_buses_inclusive_bswitch,
show_computing_time=False):
"""
The function creates a bus lookup table according to the given zpbn network
and the bus groups
"""
t_start = time.perf_counter()
build_ppc_and_Ybus(net_zpbn)
ppc_branch = net_zpbn._ppc["branch"]
pd2ppc_bus_lookup = net_zpbn._pd2ppc_lookups["bus"]
# --- create bus lookup
bus_lookup_pd = {"i_area_buses": [],
"b_area_buses": boundary_buses,
"t_area_buses": net_zpbn.bus.index[net_zpbn.bus.name.str.contains(
"-total", na=False)].tolist(),
"g_area_buses": net_zpbn.bus.index[net_zpbn.bus.name.str.contains(
"-ground", na=False)].tolist(),
"e_area_buses": all_external_buses,
"b_area_buses_no_switch": []}
# --- create ppc bus lookup
bus_lookup_ppc = bus_lookup_pd.copy()
bus_lookup_ppc_origin = bus_lookup_pd.copy()
for key in ["b", "i", "e", "g", "t"]:
bus_lookup_ppc[key+"_area_buses"] = pd2ppc_bus_lookup[list(bus_lookup_pd[
key+"_area_buses"])].tolist()
origin_sequence = bus_lookup_ppc[key+"_area_buses"].copy()
# remove repeated "neg." (e.g. bus-bus-switch) ppc buses
bus_lookup_ppc[key+"_area_buses"] = sorted(set(bus_lookup_ppc[
key+"_area_buses"]), key=origin_sequence.index)
if key == "b":
# bus_lookup_pd["b_area_buses_no_switch"] = bus_lookup_pd[key+"_area_buses"].copy()
# for i in range(len(bus_lookup_ppc[key+"_area_buses"])):
# if bus_lookup_ppc[key+"_area_buses"][i] != \
# pd2ppc_bus_lookup[bus_lookup_pd["b_area_buses_no_switch"][i]]:
# del bus_lookup_pd["b_area_buses_no_switch"][i]
bus_lookup_pd["b_area_buses_no_switch"] = bus_lookup_pd[key+"_area_buses"].copy()
val_ppc = []
for val in bus_lookup_pd[key+"_area_buses"].copy():
if pd2ppc_bus_lookup[val] in val_ppc:
bus_lookup_pd["b_area_buses_no_switch"].remove(val)
else:
val_ppc.append(pd2ppc_bus_lookup[val])
# remove ppc buses appearing in b_area as well as in i_area or e_area
if key != "b":
common_ppc_busese = set(bus_lookup_ppc["b_area_buses"]) & set(bus_lookup_ppc[
key+"_area_buses"])
if common_ppc_busese:
bus_lookup_ppc[key+"_area_buses"].remove(list(common_ppc_busese))
if key == "b" and len(bus_lookup_ppc["b_area_buses"]) != len(bus_lookup_pd["b_area_buses"]):
logger.info("some boundary buses are connetected via switches")
# --- identify "pos." (eg. bus-line-switch) ppc_buses
Ybus_size = net_zpbn._ppc["internal"]["Ybus"]._shape[0]
all_ppc_buses_lists = list(bus_lookup_ppc.values())
all_ppc_buses = reduce(operator.concat, all_ppc_buses_lists)
pos_aux_buses_ppc = set(np.arange(Ybus_size))-set(all_ppc_buses)
# --- identify the "pos." (eg. bus-line-switch) ppc buses belongs zu which bus group
if pos_aux_buses_ppc:
for br_idx in range(ppc_branch.shape[0]):
f_bus_ppc = ppc_branch[br_idx, 0].real
t_bus_ppc = ppc_branch[br_idx, 1].real
if f_bus_ppc in pos_aux_buses_ppc:
if t_bus_ppc in bus_lookup_ppc["e_area_buses"]:
bus_lookup_ppc["e_area_buses"].append(int(f_bus_ppc))
pos_aux_buses_ppc.remove(f_bus_ppc)
elif t_bus_ppc in bus_lookup_ppc["i_area_buses"]:
bus_lookup_ppc["i_area_buses"].append(f_bus_ppc)
pos_aux_buses_ppc.remove(f_bus_ppc)
elif t_bus_ppc in pos_aux_buses_ppc:
if f_bus_ppc in bus_lookup_ppc["e_area_buses"]:
bus_lookup_ppc["e_area_buses"].append(int(t_bus_ppc))
pos_aux_buses_ppc.remove(t_bus_ppc)
elif f_bus_ppc in bus_lookup_ppc["i_area_buses"]:
bus_lookup_ppc["i_area_buses"].append(int(t_bus_ppc))
pos_aux_buses_ppc.remove(t_bus_ppc)
bus_lookup_ppc["e_area_buses"] += pos_aux_buses_ppc
bus_lookups = ({"bus_lookup_pd": bus_lookup_pd,
"bus_lookup_ppc": bus_lookup_ppc,
"bus_lookup_ppc_origin": bus_lookup_ppc_origin,
"pos_aux_bus_ppc": pos_aux_buses_ppc,
"boundary_buses_inclusive_bswitch":
boundary_buses_inclusive_bswitch,
"origin_all_internal_buses": all_internal_buses})
t_end = time.perf_counter()
if show_computing_time:
logger.info("\"create_bus_lookup\" finished in %s seconds:" % round((t_end-t_start), 2))
return bus_lookups
def _get_internal_and_external_nets(net, boundary_buses, all_internal_buses,
all_external_buses, show_computing_time=False,
calc_volt_angles=True,
runpp_fct=_runpp_except_voltage_angles, **kwargs):
"This function identifies the internal area and the external area"
t_start = time.perf_counter()
if not all_internal_buses:
net_internal = None
else:
net_internal = deepcopy(net)
drop_measurements_and_controllers(net_internal, all_external_buses, True)
drop_and_edit_cost_functions(net_internal,
all_external_buses+boundary_buses,
True, True)
pp.drop_buses(net_internal, all_external_buses)
net_external = deepcopy(net)
if "group" in net_external:
net_external.group.drop(net_external.group.index, inplace=True)
drop_and_edit_cost_functions(net_external, all_internal_buses,
True, True)
drop_measurements_and_controllers(net_external, net_external.bus.index.tolist())
pp.drop_buses(net_external, all_internal_buses)
replace_motor_by_load(net_external, all_external_buses)
# add_ext_grids_to_boundaries(net_external, boundary_buses, runpp_fct=runpp_fct, **kwargs)
# runpp_fct(net_external, calculate_voltage_angles=calc_volt_angles, **kwargs)
_integrate_power_elements_connected_with_switch_buses(net, net_external,
all_external_buses) # for sgens, gens, and loads
runpp_fct(net_external, calculate_voltage_angles=calc_volt_angles, **kwargs)
t_end = time.perf_counter()
if show_computing_time:
logger.info("\"get_int_and_ext_nets\" " +
"finished in %s seconds:" % round((t_end-t_start), 2))
return net_internal, net_external
def _calclate_equivalent_element_params(net_zpbn, Ybus_eq, bus_lookups,
show_computing_time=False,
max_allowed_impedance=1e8, **kwargs):
""" This function calculates the equivalent parameters
INPUT:
**Ybus_eq** (array) - equivalent admittance matrix of the external area
**bus_lookup** (dict) - bus lookup table
OUTPUT:
**shunt_params** - parameters of the equivalent shunts
**impedance_params** - parameters of the equivalent impedances
"""
t_start = time.perf_counter()
# --- calculate impedance paramter
bt_buses_ppc = list(bus_lookups["bus_lookup_ppc"]["b_area_buses"]) + \
list(bus_lookups["bus_lookup_ppc"]["t_area_buses"])
bt_buses_pd = list(bus_lookups["bus_lookup_pd"]["b_area_buses_no_switch"]) + \
list(bus_lookups["bus_lookup_pd"]["t_area_buses"])
nb_bt_buses_ppc = len(bt_buses_ppc)
shunt_params = pd.DataFrame(columns=["bus_pd", "bus_ppc", "parameter"])
shunt_params["bus_ppc"] = bt_buses_ppc
shunt_params["bus_pd"] = bt_buses_pd
shunt_params["parameter"] = Ybus_eq.sum(axis=1)[-nb_bt_buses_ppc:]
shunt_params["local_voltage"] = net_zpbn.res_bus.vm_pu[bt_buses_pd].values
# --- calculate impedance paramter
params = Ybus_eq[-nb_bt_buses_ppc:, -nb_bt_buses_ppc:]
nl = (nb_bt_buses_ppc) * (nb_bt_buses_ppc - 1) // 2
tri_upper = np.triu(params, k=1)
non_zero = np.abs(tri_upper) > 1/max_allowed_impedance
rows = (np.arange(params.shape[0]).reshape(-1, 1) * np.ones(params.shape)).astype(np.int64)[non_zero]
cols = (np.arange(params.shape[1]) * np.ones(params.shape)).astype(np.int64)[non_zero]
impedance_params = pd.DataFrame(columns=["from_bus", "to_bus", "rft_pu",
"xft_pu", "rtf_pu", "xtf_pu"], index=range(len(rows)))
impedance_params["from_bus"] = np.array(bt_buses_pd)[rows]
impedance_params["to_bus"] = np.array(bt_buses_pd)[cols]
impedance_params["rft_pu"] = (-1 / params[rows, cols]).real
impedance_params["xft_pu"] = (-1 / params[rows, cols]).imag
non_zero_cr = np.abs(params[cols, rows]) > 1/max_allowed_impedance
impedance_params["rtf_pu"] = 1e5
impedance_params["xtf_pu"] = 1e5
impedance_params["rtf_pu"].loc[non_zero_cr] = (-1 / params[cols, rows]).real[non_zero_cr]
impedance_params["xtf_pu"].loc[non_zero_cr] = (-1 / params[cols, rows]).imag[non_zero_cr]
t_end = time.perf_counter()
if show_computing_time:
logger.info("\"calclate_equivalent_element_params\" finished in %s seconds:" %
round((t_end-t_start), 2))
return shunt_params, impedance_params
def _replace_ext_area_by_impedances_and_shunts(
net_eq, bus_lookups, impedance_params, shunt_params, net_internal,
return_internal, show_computing_time=False, calc_volt_angles=True, imp_threshold=1e-8,
runpp_fct=_runpp_except_voltage_angles, **kwargs):
"""
This function implements the parameters of the equivalent shunts and equivalent impedance
"""
# --- drop all external elements
eg_buses_pd = bus_lookups["bus_lookup_pd"]["e_area_buses"] + \
bus_lookups["bus_lookup_pd"]["g_area_buses"]
pp.drop_buses(net_eq, eg_buses_pd)
try:
runpp_fct(net_eq, calculate_voltage_angles=calc_volt_angles,
tolerance_mva=1e-6, max_iteration=100, **kwargs)
except:
logger.error("The power flow did not converge.")
# --- drop all branch elements except switches between boundary buses
drop_internal_branch_elements(net_eq, bus_lookups["boundary_buses_inclusive_bswitch"])
# --- drop shunt elements attached to boundary buses
traget_shunt_idx = net_eq.shunt.index[net_eq.shunt.bus.isin(bus_lookups[
"boundary_buses_inclusive_bswitch"])]
net_eq.shunt.drop(traget_shunt_idx, inplace=True)
# --- create impedance
not_very_low_imp = (impedance_params.rft_pu.abs() > imp_threshold) | (
impedance_params.xft_pu.abs() > imp_threshold) | (
impedance_params.rtf_pu.abs() > imp_threshold) | (
impedance_params.xtf_pu.abs() > imp_threshold) | (
impedance_params.from_bus.isin(set(net_eq.gen.bus)|set(net_eq.ext_grid.bus)) &
impedance_params.to_bus.isin(set(net_eq.gen.bus)|set(net_eq.ext_grid.bus)))
new_imps = impedance_params[["from_bus", "to_bus", "rft_pu", "xft_pu", "rtf_pu",
"xtf_pu"]].loc[not_very_low_imp]
max_idx = net_eq.impedance.index.max() if net_eq.impedance.shape[0] else 0
new_imps.index = range(max_idx+1, max_idx+1+sum(not_very_low_imp))
new_imps["name"] = "eq_impedance"
new_imps["sn_mva"] = net_eq.sn_mva
new_imps["in_service"] = True
net_eq["impedance"] = pd.concat([net_eq["impedance"], new_imps])
# --- create switches instead of very low impedances
new_sws = impedance_params[["from_bus", "to_bus"]].loc[~not_very_low_imp].astype(np.int64)
new_sws.rename(columns={"from_bus": "bus", "to_bus": "element"}, inplace=True)
max_idx = net_eq.switch.index.max() if net_eq.switch.shape[0] else 0
new_sws.index = range(max_idx+1, max_idx+1+sum(~not_very_low_imp))
new_sws["et"] = "b"
new_sws["name"] = "eq_switch"
new_sws["closed"] = True
new_sws["z_ohm"] = 0
net_eq["switch"] = pd.concat([net_eq["switch"], new_sws])
# If some buses are connected through switches, their shunts are connected in parallel
# to same bus. The shunt parameters needs to be adapted. TODO
if not not_very_low_imp.all():
fb = impedance_params.from_bus[~not_very_low_imp].values.tolist()
tb = impedance_params.to_bus[~not_very_low_imp].values.tolist()
# fb_values = shunt_params.parameter[shunt_params.bus_pd.isin(fb)].values
# tb_values = shunt_params.parameter[shunt_params.bus_pd.isin(tb)].values
# adapted_params = fb_values * tb_values / (tb_values + fb_values)
# shunt_params.parameter[shunt_params.bus_pd.isin(tb)] = adapted_params
shunt_params.drop(shunt_params.index[shunt_params.bus_pd.isin(fb)], inplace=True)
shunt_params.drop(shunt_params.index[shunt_params.bus_pd.isin(tb)], inplace=True)
# --- create shunts
max_idx = net_eq.shunt.index.max() if net_eq.shunt.shape[0] else 0
shunt_buses = shunt_params.bus_pd.values.astype(np.int64)
new_shunts = pd.DataFrame({"bus": shunt_buses,
"q_mvar": -shunt_params.parameter.values.imag * net_eq.sn_mva,
"p_mw": shunt_params.parameter.values.real * net_eq.sn_mva
}, index=range(max_idx+1, max_idx+1+shunt_params.shape[0]))
new_shunts["name"] = "eq_shunt"
isin_sh = new_shunts.bus.isin(net_eq.bus.index)
new_shunts.loc[isin_sh, "vn_kv"] = net_eq.bus.vn_kv.loc[new_shunts.bus.loc[isin_sh]].values
new_shunts["step"] = 1
new_shunts["max_step"] = 1
new_shunts["in_service"] = True
net_eq["shunt"] = pd.concat([net_eq["shunt"], new_shunts])
if n_disconnected_new_eq_shunts := sum(~isin_sh):
msg = f"{n_disconnected_new_eq_shunts=}, missing buses: {new_shunts.bus.loc[~isin_sh]}"
raise ValueError(msg)
runpp_fct(net_eq, calculate_voltage_angles=calc_volt_angles,
tolerance_mva=1e-6, max_iteration=100, **kwargs)
def _integrate_power_elements_connected_with_switch_buses(net, net_external, all_external_buses):
all_buses, bus_dict = get_connected_switch_buses_groups(net_external,
all_external_buses)
for elm in ["sgen", "load", "gen"]:
for bd in bus_dict:
if elm != "gen":
connected_elms = net[elm].index[(net[elm].bus.isin(bd)) &
(net[elm].in_service==True) &
~((net[elm].p_mw==0) & (net[elm].q_mvar==0))]
else:
connected_elms = net[elm].index[(net[elm].bus.isin(bd)) &
(net[elm].in_service==True)]
if len(connected_elms) <= 1:
continue
else: # There ars some "external" elements connected with bus-bus switches.
# They will be aggregated.
elm1 = connected_elms[0]
net[elm].bus[connected_elms] = net[elm].bus[elm1]
net_external[elm].bus[connected_elms] = net_external[elm].bus[elm1]