forked from e2nIEE/pandapower
-
Notifications
You must be signed in to change notification settings - Fork 9
/
build_gen.py
327 lines (263 loc) · 13.5 KB
/
build_gen.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
# -*- coding: utf-8 -*-
# Copyright (c) 2016-2021 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
import numpy as np
from pandapower.pf.ppci_variables import bustypes
from pandapower.pypower.idx_bus import PV, REF, VA, VM, BUS_TYPE, NONE, VMAX, VMIN
from pandapower.pypower.idx_gen import QMIN, QMAX, PMIN, PMAX, GEN_BUS, PG, VG, QG, MBASE
try:
import pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
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 == "estimate":
return
_is_elements = net["_is_elements"]
gen_order = dict()
f = 0
for element in ["ext_grid", "gen"]:
f = add_gen_order(gen_order, element, _is_elements, f)
if mode == "opf":
if len(net.dcline) > 0:
ppc["dcline"] = net.dcline[["loss_mw", "loss_percent"]].values
for element in ["sgen_controllable", "load_controllable", "storage_controllable"]:
f = add_gen_order(gen_order, element, _is_elements, f)
f = add_gen_order(gen_order, "xward", _is_elements, f)
_init_ppc_gen(net, ppc, f)
for element, (f, t) in gen_order.items():
add_element_to_gen(net, ppc, element, f, t)
net._gen_order = gen_order
def add_gen_order(gen_order, element, _is_elements, f):
if element in _is_elements and _is_elements[element].any():
i = np.sum(_is_elements[element])
gen_order[element] = (f, f + i)
f += i
return f
def _init_ppc_gen(net, ppc, nr_gens):
# initialize generator matrix
ppc["gen"] = np.zeros(shape=(nr_gens, 21), dtype=float)
ppc["gen"][:] = np.array([0, 0, 0, 0, 0, 1.,
1., 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
q_lim_default = net._options["p_lim_default"]
p_lim_default = net._options["p_lim_default"]
ppc["gen"][:, PMAX] = p_lim_default
ppc["gen"][:, PMIN] = -p_lim_default
ppc["gen"][:, QMAX] = q_lim_default
ppc["gen"][:, QMIN] = -q_lim_default
def add_element_to_gen(net, ppc, element, f, t):
if element == "ext_grid":
_build_pp_ext_grid(net, ppc, f, t)
elif element == "gen":
_build_pp_gen(net, ppc, f, t)
elif element == "sgen_controllable":
_build_pp_pq_element(net, ppc, "sgen", f, t)
elif element == "load_controllable":
_build_pp_pq_element(net, ppc, "load", f, t, inverted=True)
elif element == "storage_controllable":
_build_pp_pq_element(net, ppc, "storage", f, t, inverted=True)
elif element == "xward":
_build_pp_xward(net, ppc, f, t)
else:
raise ValueError("Unknown element %s" % element)
def _build_pp_ext_grid(net, ppc, f, t):
delta = net._options["delta"]
eg_is = net._is_elements["ext_grid"]
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]]
ppc["gen"][f:t, GEN_BUS] = eg_buses
ppc["gen"][f:t, VG] = net["ext_grid"]["vm_pu"].values[eg_is]
# set bus values for external grid buses
if ppc.get("sequence", 1) == 1:
if calculate_voltage_angles:
ppc["bus"][eg_buses, VA] = net["ext_grid"]["va_degree"].values[eg_is]
ppc["bus"][eg_buses, VM] = net["ext_grid"]["vm_pu"].values[eg_is]
if net._options["mode"] == "opf":
add_q_constraints(net, "ext_grid", eg_is, ppc, f, t, delta)
add_p_constraints(net, "ext_grid", eg_is, ppc, f, t, delta)
if "controllable" in net["ext_grid"]:
# if we do and one of them is false, do this only for the ones, where it is false
eg_constrained = net.ext_grid[eg_is][net.ext_grid.controllable == False]
if len(eg_constrained):
eg_constrained_bus = eg_constrained.bus
ppc["bus"][eg_constrained_bus, VMAX] = net["ext_grid"]["vm_pu"].values[eg_constrained.index] + delta
ppc["bus"][eg_constrained_bus, VMIN] = net["ext_grid"]["vm_pu"].values[eg_constrained.index] - delta
else:
# if we dont:
ppc["bus"][eg_buses, VMAX] = net["ext_grid"]["vm_pu"].values[eg_is] + delta
ppc["bus"][eg_buses, VMIN] = net["ext_grid"]["vm_pu"].values[eg_is] - delta
else:
ppc["gen"][f:t, QMIN] = 0
ppc["gen"][f:t, QMAX] = 0
def _check_gen_vm_limits(net, ppc, gen_buses, gen_is):
# check vm_pu limit violation
v_max_bound = ppc["bus"][gen_buses, VMAX] < net["gen"]["vm_pu"].values[gen_is]
if np.any(v_max_bound):
bound_gens = net["gen"].index.values[gen_is][v_max_bound]
logger.warning("gen vm_pu > bus max_vm_pu for gens {}. "
"Setting bus limit for these gens.".format(bound_gens))
v_min_bound = net["gen"]["vm_pu"].values[gen_is] < ppc["bus"][gen_buses, VMIN]
if np.any(v_min_bound):
bound_gens = net["gen"].index.values[gen_is][v_min_bound]
logger.warning("gen vm_pu < bus min_vm_pu for gens {}. "
"Setting bus limit for these gens.".format(bound_gens))
# check max_vm_pu / min_vm_pu limit violation
if "max_vm_pu" in net["gen"].columns:
v_max_bound = ppc["bus"][gen_buses, VMAX] < net["gen"]["max_vm_pu"].values[gen_is]
if np.any(v_max_bound):
bound_gens = net["gen"].index.values[gen_is][v_max_bound]
logger.warning("gen max_vm_pu > bus max_vm_pu for gens {}. "
"Setting bus limit for these gens.".format(bound_gens))
# set only vm of gens which do not violate the limits
ppc["bus"][gen_buses[~v_max_bound], VMAX] = net["gen"]["max_vm_pu"].values[gen_is][~v_max_bound]
else:
# set vm of all gens
ppc["bus"][gen_buses, VMAX] = net["gen"]["max_vm_pu"].values[gen_is]
if "min_vm_pu" in net["gen"].columns:
v_min_bound = net["gen"]["min_vm_pu"].values[gen_is] < ppc["bus"][gen_buses, VMIN]
if np.any(v_min_bound):
bound_gens = net["gen"].index.values[gen_is][v_min_bound]
logger.warning("gen min_vm_pu < bus min_vm_pu for gens {}. "
"Setting bus limit for these gens.".format(bound_gens))
# set only vm of gens which do not violate the limits
ppc["bus"][gen_buses[~v_max_bound], VMIN] = net["gen"]["min_vm_pu"].values[gen_is][~v_min_bound]
else:
# set vm of all gens
ppc["bus"][gen_buses, VMIN] = net["gen"]["min_vm_pu"].values[gen_is]
return ppc
def _enforce_controllable_vm_pu_p_mw(net, ppc, gen_is, f, t):
delta = net["_options"]["delta"]
bus_lookup = net["_pd2ppc_lookups"]["bus"]
controllable = net["gen"]["controllable"].values[gen_is]
not_controllable = ~controllable.astype(bool)
# if there are some non controllable gens -> set vm_pu and p_mw fixed
if np.any(not_controllable):
bus = net["gen"]["bus"].values[not_controllable]
vm_pu = net["gen"]["vm_pu"].values[not_controllable]
p_mw = net["gen"]["p_mw"].values[not_controllable]
not_controllable_buses = bus_lookup[bus]
ppc["bus"][not_controllable_buses, VMAX] = vm_pu + delta
ppc["bus"][not_controllable_buses, VMIN] = vm_pu - delta
not_controllable_gens = np.arange(f, t)[not_controllable]
ppc["gen"][not_controllable_gens, PMIN] = p_mw - delta
ppc["gen"][not_controllable_gens, PMAX] = p_mw + delta
return ppc
def _build_pp_gen(net, ppc, f, t):
delta = net["_options"]["delta"]
gen_is = net._is_elements["gen"]
bus_lookup = net["_pd2ppc_lookups"]["bus"]
gen_buses = bus_lookup[net["gen"]["bus"].values[gen_is]]
gen_is_vm = net["gen"]["vm_pu"].values[gen_is]
ppc["gen"][f:t, GEN_BUS] = gen_buses
ppc["gen"][f:t, PG] = (net["gen"]["p_mw"].values[gen_is] * net["gen"]["scaling"].values[gen_is])
ppc["gen"][f:t, MBASE] = net["gen"]["sn_mva"].values[gen_is]
ppc["gen"][f:t, VG] = gen_is_vm
# set bus values for generator buses
ppc["bus"][gen_buses[ppc["bus"][gen_buses, BUS_TYPE] != REF], BUS_TYPE] = PV
ppc["bus"][gen_buses, VM] = gen_is_vm
add_q_constraints(net, "gen", gen_is, ppc, f, t, delta)
add_p_constraints(net, "gen", gen_is, ppc, f, t, delta)
if net._options["mode"] == "opf":
# this considers the vm limits for gens
ppc = _check_gen_vm_limits(net, ppc, gen_buses, gen_is)
if "controllable" in net.gen.columns:
ppc = _enforce_controllable_vm_pu_p_mw(net, ppc, gen_is, f, t)
def _build_pp_xward(net, ppc, f, t, update_lookup=True):
delta = net["_options"]["delta"]
q_lim_default = net._options["q_lim_default"]
bus_lookup = net["_pd2ppc_lookups"]["bus"]
aux_buses = net["_pd2ppc_lookups"]["aux"]["xward"]
xw = net["xward"]
xw_is = net["_is_elements"]['xward']
ppc["gen"][f:t, GEN_BUS] = bus_lookup[aux_buses[xw_is]]
ppc["gen"][f:t, VG] = xw["vm_pu"][xw_is].values
ppc["gen"][f:t, PMIN] = - delta
ppc["gen"][f:t, PMAX] = + delta
ppc["gen"][f:t, QMIN] = -q_lim_default
ppc["gen"][f:t, QMAX] = q_lim_default
xward_buses = bus_lookup[aux_buses]
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 _build_pp_pq_element(net, ppc, element, f, t, inverted=False):
delta = net._options["delta"]
sign = -1 if inverted else 1
is_element = net._is_elements["%s_controllable" % element]
tab = net[element]
bus_lookup = net["_pd2ppc_lookups"]["bus"]
buses = bus_lookup[tab["bus"].values[is_element]]
ppc["gen"][f:t, GEN_BUS] = buses
if "sn_mva" in tab:
ppc["gen"][f:t, MBASE] = tab["sn_mva"].values[is_element]
ppc["gen"][f:t, PG] = sign * tab["p_mw"].values[is_element] * tab["scaling"].values[is_element]
ppc["gen"][f:t, QG] = sign * tab["q_mvar"].values[is_element] * tab["scaling"].values[is_element]
# set bus values for controllable loads
# ppc["bus"][buses, BUS_TYPE] = PQ
add_q_constraints(net, element, is_element, ppc, f, t, delta, inverted)
add_p_constraints(net, element, is_element, ppc, f, t, delta, inverted)
def add_q_constraints(net, element, is_element, ppc, f, t, delta, inverted=False):
tab = net[element]
if "min_q_mvar" in tab.columns:
if inverted:
ppc["gen"][f:t, QMAX] = -tab["min_q_mvar"].values[is_element] + delta
else:
ppc["gen"][f:t, QMIN] = tab["min_q_mvar"].values[is_element] - delta
if "max_q_mvar" in tab.columns:
if inverted:
ppc["gen"][f:t, QMIN] = -tab["max_q_mvar"].values[is_element] - delta
else:
ppc["gen"][f:t, QMAX] = tab["max_q_mvar"].values[is_element] + delta
def add_p_constraints(net, element, is_element, ppc, f, t, delta, inverted=False):
tab = net[element]
if "min_p_mw" in tab.columns:
if inverted:
ppc["gen"][f:t, PMAX] = - tab["min_p_mw"].values[is_element] + delta
else:
ppc["gen"][f:t, PMIN] = tab["min_p_mw"].values[is_element] - delta
if "max_p_mw" in tab.columns:
if inverted:
ppc["gen"][f:t, PMIN] = - tab["max_p_mw"].values[is_element] - delta
else:
ppc["gen"][f:t, PMAX] = tab["max_p_mw"].values[is_element] + delta
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):
if net._is_elements["ext_grid"].any():
gen_va = net.ext_grid.va_degree.values[net._is_elements["ext_grid"]]
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 _check_for_reference_bus(ppc):
ref, _, _ = bustypes(ppc["bus"], ppc["gen"])
# throw an error since no reference bus is defined
if len(ref) == 0:
raise UserWarning("No reference bus is available. Either add an ext_grid or a gen with slack=True")
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)