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build_gen.py
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build_gen.py
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# -*- coding: utf-8 -*-
# Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
import numpy as np
import numpy.core.numeric as ncn
from numpy import array, zeros, isnan
from pandas import DataFrame
from pandapower.idx_bus import PV, REF, VA, VM, BUS_TYPE, NONE, VMAX, VMIN, PQ
from pandapower.idx_gen import QMIN, QMAX, PMIN, PMAX, GEN_STATUS, GEN_BUS, PG, VG, QG
def _build_gen_ppc(net, ppc):
'''
Takes the empty ppc network and fills it with the gen values. The gen
datatype will be float afterwards.
**INPUT**:
**net** -The pandapower format network
**ppc** - The PYPOWER format network to fill in values
'''
mode = net["_options"]["mode"]
# if mode == power flow or short circuit...
if mode == "pf" or mode == "sc":
# get in service elements
_is_elements = net["_is_elements"]
eg_is_mask = _is_elements['ext_grid']
gen_is_mask = _is_elements['gen']
eg_end = np.sum(eg_is_mask)
gen_end = eg_end + np.sum(gen_is_mask)
xw_end = gen_end + len(net["xward"])
# define default q limits
q_lim_default = 1e9 # which is 1000 TW - should be enough for distribution grids.
p_lim_default = 1e9
_init_ppc_gen(ppc, xw_end, 0)
if mode == "sc":
return
# add generator / pv data
if gen_end > eg_end:
_build_pp_gen(net, ppc, gen_is_mask, eg_end, gen_end, q_lim_default, p_lim_default)
_build_pp_ext_grid(net, ppc, eg_is_mask, eg_end)
# add extended ward pv node data
if xw_end > gen_end:
_build_pp_xward(net, ppc, gen_end, xw_end, q_lim_default)
# if mode == optimal power flow...
if mode == "opf":
bus_lookup = net["_pd2ppc_lookups"]["bus"]
calculate_voltage_angles = net["_options"]["calculate_voltage_angles"]
if len(net.dcline) > 0:
ppc["dcline"] = net.dcline[["loss_kw", "loss_percent"]].values
# get in service elements
_is_elements = net["_is_elements"]
eg_is = net["ext_grid"][_is_elements['ext_grid']]
gen_is = net["gen"][_is_elements['gen']]
sg_is = net.sgen[(net.sgen.in_service & net.sgen.controllable) == True] \
if "controllable" in net.sgen.columns else DataFrame()
l_is = net.load[(net.load.in_service & net.load.controllable) == True] \
if "controllable" in net.load.columns else DataFrame()
stor_is = net.storage[(net.storage.in_service & net.storage.controllable) == True] \
if "controllable" in net.storage.columns else DataFrame()
_is_elements["sgen_controllable"] = sg_is
_is_elements["load_controllable"] = l_is
_is_elements["storage_controllable"] = stor_is
eg_end = len(eg_is)
gen_end = eg_end + len(gen_is)
sg_end = gen_end + len(sg_is)
l_end = sg_end + len(l_is)
stor_end = l_end + len(stor_is)
q_lim_default = 1e9 # which is 1000 TW - should be enough for distribution grids.
p_lim_default = 1e9 # changes must be considered in check_opf_data
delta = net["_options"]["delta"]
# initialize generator matrix
ppc["gen"] = zeros(shape=(stor_end, 21), dtype=float)
ppc["gen"][:] = array([0, 0, 0, q_lim_default, -q_lim_default, 1., 1., 1, p_lim_default,
-p_lim_default, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
# add sgens first so pv bus types won't be overwritten
if sg_end > gen_end:
gen_buses = bus_lookup[sg_is["bus"].values]
ppc["gen"][gen_end:sg_end, GEN_BUS] = gen_buses
ppc["gen"][gen_end:sg_end, PG] = - sg_is["p_kw"].values * 1e-3 * sg_is["scaling"].values
ppc["gen"][gen_end:sg_end, QG] = sg_is["q_kvar"].values * 1e-3 * sg_is["scaling"].values
# set bus values for generator buses
ppc["bus"][gen_buses, BUS_TYPE] = PQ
# set constraints for controllable sgens
if "min_q_kvar" in sg_is.columns:
ppc["gen"][gen_end:sg_end, QMAX] = - (sg_is["min_q_kvar"].values * 1e-3 - delta)
max_q_kvar = ppc["gen"][gen_end:sg_end, [QMAX]]
ncn.copyto(max_q_kvar, -q_lim_default, where=isnan(max_q_kvar))
ppc["gen"][gen_end:sg_end, [QMAX]] = max_q_kvar
if "max_q_kvar" in sg_is.columns:
ppc["gen"][gen_end:sg_end, QMIN] = - (sg_is["max_q_kvar"].values * 1e-3 + delta)
min_q_kvar = ppc["gen"][gen_end:sg_end, [QMIN]]
ncn.copyto(min_q_kvar, q_lim_default, where=isnan(min_q_kvar))
ppc["gen"][gen_end:sg_end, [QMIN]] = min_q_kvar
if "max_p_kw" in sg_is.columns:
ppc["gen"][gen_end:sg_end, PMIN] = - (sg_is["max_p_kw"].values * 1e-3 + delta)
max_p_kw = ppc["gen"][gen_end:sg_end, [PMIN]]
ncn.copyto(max_p_kw, -p_lim_default, where=isnan(max_p_kw))
ppc["gen"][gen_end:sg_end, [PMIN]] = max_p_kw
if "min_p_kw" in sg_is.columns:
ppc["gen"][gen_end:sg_end, PMAX] = - (sg_is["min_p_kw"].values * 1e-3 - delta)
min_p_kw = ppc["gen"][gen_end:sg_end, [PMAX]]
ncn.copyto(min_p_kw, p_lim_default, where=isnan(min_p_kw))
ppc["gen"][gen_end:sg_end, [PMAX]] = min_p_kw
# add controllable loads
if l_end > sg_end:
load_buses = bus_lookup[l_is["bus"].values]
ppc["gen"][sg_end:l_end, GEN_BUS] = load_buses
ppc["gen"][sg_end:l_end, PG] = - l_is["p_kw"].values * 1e-3 * l_is["scaling"].values
ppc["gen"][sg_end:l_end, QG] = l_is["q_kvar"].values * 1e-3 * l_is["scaling"].values
# set bus values for controllable loads
ppc["bus"][load_buses, BUS_TYPE] = PQ
# set constraints for controllable loads
if "min_q_kvar" in l_is.columns:
ppc["gen"][sg_end:l_end, QMAX] = - (l_is["min_q_kvar"].values * 1e-3 - delta)
max_q_kvar = ppc["gen"][sg_end:l_end, [QMAX]]
ncn.copyto(max_q_kvar, -q_lim_default, where=isnan(max_q_kvar))
ppc["gen"][sg_end:l_end, [QMAX]] = max_q_kvar
if "max_q_kvar" in l_is.columns:
ppc["gen"][sg_end:l_end, QMIN] = - (l_is["max_q_kvar"].values * 1e-3 + delta)
min_q_kvar = ppc["gen"][sg_end:l_end, [QMIN]]
ncn.copyto(min_q_kvar, q_lim_default, where=isnan(min_q_kvar))
ppc["gen"][sg_end:l_end, [QMIN]] = min_q_kvar
if "min_p_kw" in l_is.columns:
ppc["gen"][sg_end:l_end, PMIN] = - (l_is["max_p_kw"].values * 1e-3 + delta)
max_p_kw = ppc["gen"][sg_end:l_end, [PMIN]]
ncn.copyto(max_p_kw, -p_lim_default, where=isnan(max_p_kw))
ppc["gen"][sg_end:l_end, [PMIN]] = max_p_kw
if "max_p_kw" in l_is.columns:
ppc["gen"][sg_end:l_end, PMAX] = - (l_is["min_p_kw"].values * 1e-3 - delta)
min_p_kw = ppc["gen"][sg_end:l_end, [PMAX]]
ncn.copyto(min_p_kw, p_lim_default, where=isnan(min_p_kw))
ppc["gen"][sg_end:l_end, [PMAX]] = min_p_kw
# add controllable storages
if stor_end > l_end:
stor_buses = bus_lookup[stor_is["bus"].values]
ppc["gen"][l_end:stor_end, GEN_BUS] = stor_buses
ppc["gen"][l_end:stor_end, PG] = - stor_is["p_kw"].values * 1e-3 * stor_is["scaling"].values
ppc["gen"][l_end:stor_end, QG] = stor_is["q_kvar"].values * 1e-3 * stor_is["scaling"].values
# set bus values for generator buses
ppc["bus"][stor_buses, BUS_TYPE] = PQ
# set constraints for controllable sgens
if "min_q_kvar" in stor_is.columns:
ppc["gen"][l_end:stor_end, QMAX] = - (stor_is["min_q_kvar"].values * 1e-3 - delta)
max_q_kvar = ppc["gen"][l_end:stor_end, [QMAX]]
ncn.copyto(max_q_kvar, -q_lim_default, where=isnan(max_q_kvar))
ppc["gen"][l_end:stor_end, [QMIN]] = max_q_kvar
if "max_q_kvar" in stor_is.columns:
ppc["gen"][l_end:stor_end, QMIN] = - (stor_is["max_q_kvar"].values * 1e-3 + delta)
min_q_kvar = ppc["gen"][l_end:stor_end, [QMIN]]
ncn.copyto(min_q_kvar, q_lim_default, where=isnan(min_q_kvar))
ppc["gen"][l_end:stor_end, [QMIN]] = min_q_kvar
if "max_p_kw" in stor_is.columns:
ppc["gen"][l_end:stor_end, PMIN] = - (stor_is["max_p_kw"].values * 1e-3 + delta)
max_p_kw = ppc["gen"][l_end:stor_end, [PMIN]]
ncn.copyto(max_p_kw, -p_lim_default, where=isnan(max_p_kw))
ppc["gen"][l_end:stor_end, [PMIN]] = max_p_kw
if "min_p_kw" in stor_is.columns:
ppc["gen"][l_end:stor_end, PMAX] = - (stor_is["min_p_kw"].values * 1e-3 - delta)
min_p_kw = ppc["gen"][l_end:stor_end, [PMAX]]
ncn.copyto(min_p_kw, p_lim_default, where=isnan(min_p_kw))
ppc["gen"][l_end:stor_end, [PMAX]] = min_p_kw
# add ext grid / slack data
ppc["gen"][:eg_end, GEN_BUS] = bus_lookup[eg_is["bus"].values]
ppc["gen"][:eg_end, VG] = eg_is["vm_pu"].values
ppc["gen"][:eg_end, GEN_STATUS] = eg_is["in_service"].values
if "max_p_kw" in eg_is.columns:
ppc["gen"][:eg_end, PMIN] = - (eg_is["max_p_kw"].values * 1e-3 - delta)
max_p_kw = ppc["gen"][:eg_end, [PMIN]]
ncn.copyto(max_p_kw, -p_lim_default, where=isnan(max_p_kw))
ppc["gen"][:eg_end, [PMIN]] = max_p_kw
if "min_p_kw" in eg_is.columns:
ppc["gen"][:eg_end, PMAX] = - (eg_is["min_p_kw"].values * 1e-3 + delta)
min_p_kw = ppc["gen"][:eg_end, [PMAX]]
ncn.copyto(min_p_kw, p_lim_default, where=isnan(min_p_kw))
ppc["gen"][:eg_end, [PMAX]] = min_p_kw
if "min_q_kvar" in eg_is.columns:
ppc["gen"][:eg_end, QMAX] = - (eg_is["min_q_kvar"].values * 1e-3 - delta)
max_q_kvar = ppc["gen"][:eg_end, [QMAX]]
ncn.copyto(max_q_kvar, -q_lim_default, where=isnan(max_q_kvar))
ppc["gen"][:eg_end, [QMAX]] = max_q_kvar
if "max_q_kvar" in eg_is.columns:
ppc["gen"][:eg_end, QMIN] = - (eg_is["max_q_kvar"].values * 1e-3 + delta)
min_q_kvar = ppc["gen"][:eg_end, [QMIN]]
ncn.copyto(min_q_kvar, q_lim_default, where=isnan(min_q_kvar))
ppc["gen"][:eg_end, [QMIN]] = min_q_kvar
# set bus values for external grid buses
eg_buses = bus_lookup[eg_is["bus"].values]
if calculate_voltage_angles:
ppc["bus"][eg_buses, VA] = eg_is["va_degree"].values
ppc["bus"][eg_buses, BUS_TYPE] = REF
ppc["bus"][eg_buses, VM] = eg_is["vm_pu"].values
# REF busses don't have flexible voltages by definition:
ppc["bus"][eg_buses, VMAX] = ppc["bus"][ppc["bus"][:, BUS_TYPE] == REF, VM]
ppc["bus"][eg_buses, VMIN] = ppc["bus"][ppc["bus"][:, BUS_TYPE] == REF, VM]
# add generator / pv data
if gen_end > eg_end:
ppc["gen"][eg_end:gen_end, GEN_BUS] = bus_lookup[gen_is["bus"].values]
ppc["gen"][eg_end:gen_end, PG] = - gen_is["p_kw"].values * 1e-3 * gen_is["scaling"].values
ppc["gen"][eg_end:gen_end, VG] = gen_is["vm_pu"].values
# set bus values for generator buses
gen_buses = bus_lookup[gen_is["bus"].values]
ppc["bus"][gen_buses, BUS_TYPE] = PV
ppc["bus"][gen_buses, VM] = gen_is["vm_pu"].values
# set constraints for PV generators
_copy_q_limits_to_ppc(net, ppc, eg_end, gen_end, _is_elements['gen'])
_copy_p_limits_to_ppc(net, ppc, eg_end, gen_end, _is_elements['gen'])
_replace_nans_with_default_q_limits_in_ppc(ppc, eg_end, gen_end, q_lim_default)
_replace_nans_with_default_p_limits_in_ppc(ppc, eg_end, gen_end, p_lim_default)
def _init_ppc_gen(ppc, xw_end, q_lim_default):
# initialize generator matrix
ppc["gen"] = np.zeros(shape=(xw_end, 21), dtype=float)
ppc["gen"][:] = np.array([0, 0, 0, q_lim_default, -q_lim_default, 1.,
1., 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
def _build_pp_ext_grid(net, ppc, eg_is_mask, eg_end):
calculate_voltage_angles = net["_options"]["calculate_voltage_angles"]
bus_lookup = net["_pd2ppc_lookups"]["bus"]
# add ext grid / slack data
eg_buses = bus_lookup[net["ext_grid"]["bus"].values[eg_is_mask]]
ppc["gen"][:eg_end, GEN_BUS] = eg_buses
ppc["gen"][:eg_end, VG] = net["ext_grid"]["vm_pu"].values[eg_is_mask]
ppc["gen"][:eg_end, GEN_STATUS] = True
# set bus values for external grid buses
if calculate_voltage_angles:
ppc["bus"][eg_buses, VA] = net["ext_grid"]["va_degree"].values[eg_is_mask]
ppc["bus"][eg_buses, BUS_TYPE] = REF
# _build_gen_lookups(net, "ext_grid", 0, eg_end)
def _build_pp_gen(net, ppc, gen_is_mask, eg_end, gen_end, q_lim_default, p_lim_default):
bus_lookup = net["_pd2ppc_lookups"]["bus"]
copy_constraints_to_ppc = net["_options"]["copy_constraints_to_ppc"]
gen_buses = bus_lookup[net["gen"]["bus"].values[gen_is_mask]]
gen_is_vm = net["gen"]["vm_pu"].values[gen_is_mask]
ppc["gen"][eg_end:gen_end, GEN_BUS] = gen_buses
ppc["gen"][eg_end:gen_end, PG] = - (net["gen"]["p_kw"].values[gen_is_mask] * 1e-3 *
net["gen"]["scaling"].values[gen_is_mask])
ppc["gen"][eg_end:gen_end, VG] = gen_is_vm
# set bus values for generator buses
ppc["bus"][gen_buses, BUS_TYPE] = PV
ppc["bus"][gen_buses, VM] = gen_is_vm
_copy_q_limits_to_ppc(net, ppc, eg_end, gen_end, gen_is_mask)
_replace_nans_with_default_q_limits_in_ppc(ppc, eg_end, gen_end, q_lim_default)
if copy_constraints_to_ppc:
_copy_p_limits_to_ppc(net, ppc, eg_end, gen_end, gen_is_mask)
_replace_nans_with_default_p_limits_in_ppc(ppc, eg_end, gen_end, p_lim_default)
# _build_gen_lookups(net, "gen", eg_end, gen_end)
def _build_pp_xward(net, ppc, gen_end, xw_end, q_lim_default, update_lookup=True):
bus_lookup = net["_pd2ppc_lookups"]["bus"]
xw = net["xward"]
xw_is = net["_is_elements"]['xward']
if update_lookup:
ppc["gen"][gen_end:xw_end, GEN_BUS] = bus_lookup[xw["ad_bus"].values]
ppc["gen"][gen_end:xw_end, VG] = xw["vm_pu"].values
ppc["gen"][gen_end:xw_end, GEN_STATUS] = xw_is
ppc["gen"][gen_end:xw_end, QMIN] = -q_lim_default
ppc["gen"][gen_end:xw_end, QMAX] = q_lim_default
xward_buses = bus_lookup[net["xward"]["ad_bus"].values]
ppc["bus"][xward_buses[xw_is], BUS_TYPE] = PV
ppc["bus"][xward_buses[~xw_is], BUS_TYPE] = NONE
ppc["bus"][xward_buses, VM] = net["xward"]["vm_pu"].values
def _update_gen_ppc(net, ppc):
'''
Takes the ppc network and updates the gen values from the values in net.
**INPUT**:
**net** -The pandapower format network
**ppc** - The PYPOWER format network to fill in values
'''
# get options from net
calculate_voltage_angles = net["_options"]["calculate_voltage_angles"]
bus_lookup = net["_pd2ppc_lookups"]["bus"]
# get in service elements
_is_elements = net["_is_elements"]
gen_is_mask = _is_elements['gen']
# TODO maybe speed up things here, too
eg_is = net["ext_grid"][_is_elements['ext_grid']]
gen_is = net["gen"][_is_elements['gen']]
eg_end = len(eg_is)
gen_end = eg_end + len(gen_is)
xw_end = gen_end + len(net["xward"])
q_lim_default = 1e9 # which is 1000 TW - should be enough for distribution grids.
# add ext grid / slack data
ext_grid_lookup = net["_pd2ppc_lookups"]["ext_grid"]
ext_grid_idx_ppc = ext_grid_lookup[eg_is.index]
ppc["gen"][ext_grid_idx_ppc, VG] = eg_is["vm_pu"].values
ppc["gen"][ext_grid_idx_ppc, GEN_STATUS] = eg_is["in_service"].values
# set bus values for external grid buses
if calculate_voltage_angles:
# eg_buses = bus_lookup[eg_is["bus"].values]
ppc["bus"][ext_grid_idx_ppc, VA] = eg_is["va_degree"].values
# add generator / pv data
if gen_end > eg_end:
gen_lookup = net["_pd2ppc_lookups"]["gen"]
gen_idx_ppc = gen_lookup[gen_is.index]
ppc["gen"][gen_idx_ppc, PG] = - gen_is["p_kw"].values * 1e-3 * gen_is["scaling"].values
ppc["gen"][gen_idx_ppc, VG] = gen_is["vm_pu"].values
# set bus values for generator buses
gen_buses = bus_lookup[gen_is["bus"].values]
ppc["bus"][gen_buses, VM] = gen_is["vm_pu"].values
_copy_q_limits_to_ppc(net, ppc, eg_end, gen_end, gen_is_mask)
_replace_nans_with_default_q_limits_in_ppc(ppc, eg_end, gen_end, q_lim_default)
# add extended ward pv node data
if xw_end > gen_end:
# ToDo: this must be tested in combination with recycle. Maybe the placement of the updated value in ppc["gen"]
# ToDo: is wrong. -> I'll better raise en error
raise NotImplementedError("xwards in combination with recycle is not properly implemented")
# _build_pp_xward(net, ppc, gen_end, xw_end, q_lim_default,
# update_lookup=False)
def _copy_q_limits_to_ppc(net, ppc, eg_end, gen_end, gen_is_mask):
# Note: Pypower has generator reference system, pandapower uses load reference
# system (max <-> min)
delta = net["_options"]["delta"]
if "max_q_kvar" in net["gen"].columns:
ppc["gen"][eg_end:gen_end, QMIN] = -net["gen"]["max_q_kvar"].values[gen_is_mask] * 1e-3 - delta
if "min_q_kvar" in net["gen"].columns:
ppc["gen"][eg_end:gen_end, QMAX] = -net["gen"]["min_q_kvar"].values[gen_is_mask] * 1e-3 + delta
def _copy_p_limits_to_ppc(net, ppc, eg_end, gen_end, gen_is_mask):
delta = net["_options"]["delta"]
if "max_p_kw" in net["gen"].columns:
ppc["gen"][eg_end:gen_end, PMIN] = -net["gen"]["max_p_kw"].values[gen_is_mask] * 1e-3 + delta
if "min_p_kw" in net["gen"].columns:
ppc["gen"][eg_end:gen_end, PMAX] = -net["gen"]["min_p_kw"].values[gen_is_mask] * 1e-3 - delta
def _replace_nans_with_default_q_limits_in_ppc(ppc, eg_end, gen_end, q_lim_default):
# Note: Pypower has generator reference system, pandapower uses load reference system (max <-> min)
max_q_kvar = ppc["gen"][eg_end:gen_end, [QMIN]]
ncn.copyto(max_q_kvar, -q_lim_default, where=np.isnan(max_q_kvar))
ppc["gen"][eg_end:gen_end, [QMIN]] = max_q_kvar
min_q_kvar = ppc["gen"][eg_end:gen_end, [QMAX]]
ncn.copyto(min_q_kvar, q_lim_default, where=np.isnan(min_q_kvar))
ppc["gen"][eg_end:gen_end, [QMAX]] = min_q_kvar
def _replace_nans_with_default_p_limits_in_ppc(ppc, eg_end, gen_end, p_lim_default):
# Note: Pypower has generator reference system, pandapower uses load reference system (max <-> min)
max_p_kw = ppc["gen"][eg_end:gen_end, [PMIN]]
ncn.copyto(max_p_kw, -p_lim_default, where=isnan(max_p_kw))
ppc["gen"][eg_end:gen_end, [PMIN]] = max_p_kw
min_p_kw = ppc["gen"][eg_end:gen_end, [PMAX]]
ncn.copyto(min_p_kw, p_lim_default, where=isnan(min_p_kw))
ppc["gen"][eg_end:gen_end, [PMAX]] = min_p_kw
def _check_voltage_setpoints_at_same_bus(ppc):
# generator buses:
gen_bus = ppc['gen'][:, GEN_BUS].astype(int)
# generator setpoints:
gen_vm = ppc['gen'][:, VG]
if _different_values_at_one_bus(gen_bus, gen_vm):
raise UserWarning("Generators with different voltage setpoints connected to the same bus")
def _check_voltage_angles_at_same_bus(net, ppc):
gen_va = net.ext_grid.va_degree[net._is_elements["ext_grid"]].values
eg_gens = net._pd2ppc_lookups["ext_grid"][net.ext_grid.index[net._is_elements["ext_grid"]]]
gen_bus = ppc["gen"][eg_gens, GEN_BUS].astype(int)
if _different_values_at_one_bus(gen_bus, gen_va):
raise UserWarning("Ext grids with different voltage angle setpoints connected to the same bus")
def _different_values_at_one_bus(buses, values):
"""
checks if there are different values in any of the
"""
# buses with one or more generators and their index
unique_bus, index_first_bus = np.unique(buses, return_index=True)
# voltage setpoint lookup with the voltage of the first occurence of that bus
first_values = -np.ones(buses.max() + 1)
first_values[unique_bus] = values[index_first_bus]
# generate voltage setpoints where all generators at the same bus
# have the voltage of the first generator at that bus
values_equal = first_values[buses]
return not np.allclose(values, values_equal)