|
1
|
|
|
"""The central module containing all code dealing with importing data from |
|
2
|
|
|
the pysa-eur-sec scenario parameter creation |
|
3
|
|
|
""" |
|
4
|
|
|
|
|
5
|
|
|
from pathlib import Path |
|
6
|
|
|
from urllib.request import urlretrieve |
|
7
|
|
|
import os |
|
8
|
|
|
import tarfile |
|
9
|
|
|
|
|
10
|
|
|
from shapely.geometry import LineString |
|
11
|
|
|
import geopandas as gpd |
|
12
|
|
|
import importlib_resources as resources |
|
13
|
|
|
import pandas as pd |
|
14
|
|
|
import pypsa |
|
15
|
|
|
import yaml |
|
16
|
|
|
|
|
17
|
|
|
from egon.data import __path__, db |
|
18
|
|
|
from egon.data.datasets import Dataset |
|
19
|
|
|
from egon.data.datasets.scenario_parameters import get_sector_parameters |
|
20
|
|
|
import egon.data.config |
|
21
|
|
|
import egon.data.subprocess as subproc |
|
22
|
|
|
|
|
23
|
|
|
|
|
24
|
|
|
def run_pypsa_eur_sec(): |
|
25
|
|
|
|
|
26
|
|
|
cwd = Path(".") |
|
27
|
|
|
filepath = cwd / "run-pypsa-eur-sec" |
|
28
|
|
|
filepath.mkdir(parents=True, exist_ok=True) |
|
29
|
|
|
|
|
30
|
|
|
pypsa_eur_repos = filepath / "pypsa-eur" |
|
31
|
|
|
pypsa_eur_repos_data = pypsa_eur_repos / "data" |
|
32
|
|
|
technology_data_repos = filepath / "technology-data" |
|
33
|
|
|
pypsa_eur_sec_repos = filepath / "pypsa-eur-sec" |
|
34
|
|
|
pypsa_eur_sec_repos_data = pypsa_eur_sec_repos / "data" |
|
35
|
|
|
|
|
36
|
|
|
if not pypsa_eur_repos.exists(): |
|
37
|
|
|
subproc.run( |
|
38
|
|
|
[ |
|
39
|
|
|
"git", |
|
40
|
|
|
"clone", |
|
41
|
|
|
"--branch", |
|
42
|
|
|
"v0.4.0", |
|
43
|
|
|
"https://github.com/PyPSA/pypsa-eur.git", |
|
44
|
|
|
pypsa_eur_repos, |
|
45
|
|
|
] |
|
46
|
|
|
) |
|
47
|
|
|
|
|
48
|
|
|
# subproc.run( |
|
49
|
|
|
# ["git", "checkout", "4e44822514755cdd0289687556547100fba6218b"], |
|
50
|
|
|
# cwd=pypsa_eur_repos, |
|
51
|
|
|
# ) |
|
52
|
|
|
|
|
53
|
|
|
file_to_copy = os.path.join( |
|
54
|
|
|
__path__[0], "datasets", "pypsaeursec", "pypsaeur", "Snakefile" |
|
55
|
|
|
) |
|
56
|
|
|
|
|
57
|
|
|
subproc.run(["cp", file_to_copy, pypsa_eur_repos]) |
|
58
|
|
|
|
|
59
|
|
|
# Read YAML file |
|
60
|
|
|
path_to_env = pypsa_eur_repos / "envs" / "environment.yaml" |
|
61
|
|
|
with open(path_to_env, "r") as stream: |
|
62
|
|
|
env = yaml.safe_load(stream) |
|
63
|
|
|
|
|
64
|
|
|
env["dependencies"].append("gurobi") |
|
65
|
|
|
|
|
66
|
|
|
# Write YAML file |
|
67
|
|
|
with open(path_to_env, "w", encoding="utf8") as outfile: |
|
68
|
|
|
yaml.dump( |
|
69
|
|
|
env, outfile, default_flow_style=False, allow_unicode=True |
|
70
|
|
|
) |
|
71
|
|
|
|
|
72
|
|
|
datafile = "pypsa-eur-data-bundle.tar.xz" |
|
73
|
|
|
datapath = pypsa_eur_repos / datafile |
|
74
|
|
|
if not datapath.exists(): |
|
75
|
|
|
urlretrieve( |
|
76
|
|
|
f"https://zenodo.org/record/3517935/files/{datafile}", datapath |
|
77
|
|
|
) |
|
78
|
|
|
tar = tarfile.open(datapath) |
|
79
|
|
|
tar.extractall(pypsa_eur_repos_data) |
|
80
|
|
|
|
|
81
|
|
|
if not technology_data_repos.exists(): |
|
82
|
|
|
subproc.run( |
|
83
|
|
|
[ |
|
84
|
|
|
"git", |
|
85
|
|
|
"clone", |
|
86
|
|
|
"--branch", |
|
87
|
|
|
"v0.3.0", |
|
88
|
|
|
"https://github.com/PyPSA/technology-data.git", |
|
89
|
|
|
technology_data_repos, |
|
90
|
|
|
] |
|
91
|
|
|
) |
|
92
|
|
|
|
|
93
|
|
|
if not pypsa_eur_sec_repos.exists(): |
|
94
|
|
|
subproc.run( |
|
95
|
|
|
[ |
|
96
|
|
|
"git", |
|
97
|
|
|
"clone", |
|
98
|
|
|
"https://github.com/openego/pypsa-eur-sec.git", |
|
99
|
|
|
pypsa_eur_sec_repos, |
|
100
|
|
|
] |
|
101
|
|
|
) |
|
102
|
|
|
|
|
103
|
|
|
datafile = "pypsa-eur-sec-data-bundle.tar.gz" |
|
104
|
|
|
datapath = pypsa_eur_sec_repos_data / datafile |
|
105
|
|
|
if not datapath.exists(): |
|
106
|
|
|
urlretrieve( |
|
107
|
|
|
f"https://zenodo.org/record/5824485/files/{datafile}", datapath |
|
108
|
|
|
) |
|
109
|
|
|
tar = tarfile.open(datapath) |
|
110
|
|
|
tar.extractall(pypsa_eur_sec_repos_data) |
|
111
|
|
|
|
|
112
|
|
|
with open(filepath / "Snakefile", "w") as snakefile: |
|
113
|
|
|
snakefile.write( |
|
114
|
|
|
resources.read_text("egon.data.datasets.pypsaeursec", "Snakefile") |
|
115
|
|
|
) |
|
116
|
|
|
|
|
117
|
|
|
subproc.run( |
|
118
|
|
|
[ |
|
119
|
|
|
"snakemake", |
|
120
|
|
|
"-j1", |
|
121
|
|
|
"--directory", |
|
122
|
|
|
filepath, |
|
123
|
|
|
"--snakefile", |
|
124
|
|
|
filepath / "Snakefile", |
|
125
|
|
|
"--use-conda", |
|
126
|
|
|
"--conda-frontend=conda", |
|
127
|
|
|
"Main", |
|
128
|
|
|
] |
|
129
|
|
|
) |
|
130
|
|
|
|
|
131
|
|
|
|
|
132
|
|
|
def read_network(): |
|
133
|
|
|
|
|
134
|
|
|
# Set execute_pypsa_eur_sec to False until optional task is implemented |
|
135
|
|
|
execute_pypsa_eur_sec = False |
|
136
|
|
|
cwd = Path(".") |
|
137
|
|
|
|
|
138
|
|
|
if execute_pypsa_eur_sec: |
|
139
|
|
|
filepath = cwd / "run-pypsa-eur-sec" |
|
140
|
|
|
pypsa_eur_sec_repos = filepath / "pypsa-eur-sec" |
|
141
|
|
|
# Read YAML file |
|
142
|
|
|
pes_egonconfig = pypsa_eur_sec_repos / "config_egon.yaml" |
|
143
|
|
|
with open(pes_egonconfig, "r") as stream: |
|
144
|
|
|
data_config = yaml.safe_load(stream) |
|
145
|
|
|
|
|
146
|
|
|
simpl = data_config["scenario"]["simpl"][0] |
|
147
|
|
|
clusters = data_config["scenario"]["clusters"][0] |
|
148
|
|
|
lv = data_config["scenario"]["lv"][0] |
|
149
|
|
|
opts = data_config["scenario"]["opts"][0] |
|
150
|
|
|
sector_opts = data_config["scenario"]["sector_opts"][0] |
|
151
|
|
|
planning_horizons = data_config["scenario"]["planning_horizons"][0] |
|
152
|
|
|
file = "elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc".format( |
|
153
|
|
|
simpl=simpl, |
|
154
|
|
|
clusters=clusters, |
|
155
|
|
|
opts=opts, |
|
156
|
|
|
lv=lv, |
|
157
|
|
|
sector_opts=sector_opts, |
|
158
|
|
|
planning_horizons=planning_horizons, |
|
159
|
|
|
) |
|
160
|
|
|
|
|
161
|
|
|
target_file = ( |
|
162
|
|
|
pypsa_eur_sec_repos |
|
163
|
|
|
/ "results" |
|
164
|
|
|
/ data_config["run"] |
|
165
|
|
|
/ "postnetworks" |
|
166
|
|
|
/ file |
|
167
|
|
|
) |
|
168
|
|
|
|
|
169
|
|
|
else: |
|
170
|
|
|
target_file = ( |
|
171
|
|
|
cwd |
|
172
|
|
|
/ "data_bundle_egon_data" |
|
173
|
|
|
/ "pypsa_eur_sec" |
|
174
|
|
|
/ "2022-05-04-egondata-integration" |
|
175
|
|
|
/ "postnetworks" |
|
176
|
|
|
/ "elec_s_37_lv2.0__Co2L0-3H-T-H-B-I-dist1_2050.nc" |
|
177
|
|
|
) |
|
178
|
|
|
|
|
179
|
|
|
return pypsa.Network(str(target_file)) |
|
180
|
|
|
|
|
181
|
|
|
|
|
182
|
|
|
def clean_database(): |
|
183
|
|
|
"""Remove all components abroad for eGon100RE of the database |
|
184
|
|
|
|
|
185
|
|
|
Remove all components abroad and their associated time series of |
|
186
|
|
|
the datase for the scenario 'eGon100RE'. |
|
187
|
|
|
|
|
188
|
|
|
Parameters |
|
189
|
|
|
---------- |
|
190
|
|
|
None |
|
191
|
|
|
|
|
192
|
|
|
Returns |
|
193
|
|
|
------- |
|
194
|
|
|
None |
|
195
|
|
|
|
|
196
|
|
|
""" |
|
197
|
|
|
scn_name = "eGon100RE" |
|
198
|
|
|
|
|
199
|
|
|
comp_one_port = ["load", "generator", "store", "storage"] |
|
200
|
|
|
|
|
201
|
|
|
# delete existing components and associated timeseries |
|
202
|
|
|
for comp in comp_one_port: |
|
203
|
|
|
db.execute_sql( |
|
204
|
|
|
f""" |
|
205
|
|
|
DELETE FROM {"grid.egon_etrago_" + comp + "_timeseries"} |
|
206
|
|
|
WHERE {comp + "_id"} IN ( |
|
207
|
|
|
SELECT {comp + "_id"} FROM {"grid.egon_etrago_" + comp} |
|
208
|
|
|
WHERE bus IN ( |
|
209
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus |
|
210
|
|
|
WHERE country != 'DE' |
|
211
|
|
|
AND scn_name = '{scn_name}') |
|
212
|
|
|
AND scn_name = '{scn_name}' |
|
213
|
|
|
); |
|
214
|
|
|
|
|
215
|
|
|
DELETE FROM {"grid.egon_etrago_" + comp} |
|
216
|
|
|
WHERE bus IN ( |
|
217
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus |
|
218
|
|
|
WHERE country != 'DE' |
|
219
|
|
|
AND scn_name = '{scn_name}') |
|
220
|
|
|
AND scn_name = '{scn_name}';""" |
|
221
|
|
|
) |
|
222
|
|
|
|
|
223
|
|
|
comp_2_ports = [ |
|
224
|
|
|
"line", |
|
225
|
|
|
"transformer", |
|
226
|
|
|
"link", |
|
227
|
|
|
] |
|
228
|
|
|
|
|
229
|
|
|
for comp, id in zip(comp_2_ports, ["line_id", "trafo_id", "link_id"]): |
|
230
|
|
|
db.execute_sql( |
|
231
|
|
|
f""" |
|
232
|
|
|
DELETE FROM {"grid.egon_etrago_" + comp + "_timeseries"} |
|
233
|
|
|
WHERE scn_name = '{scn_name}' |
|
234
|
|
|
AND {id} IN ( |
|
235
|
|
|
SELECT {id} FROM {"grid.egon_etrago_" + comp} |
|
236
|
|
|
WHERE "bus0" IN ( |
|
237
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus |
|
238
|
|
|
WHERE country != 'DE' |
|
239
|
|
|
AND scn_name = '{scn_name}') |
|
240
|
|
|
OR "bus1" IN ( |
|
241
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus |
|
242
|
|
|
WHERE country != 'DE' |
|
243
|
|
|
AND scn_name = '{scn_name}') |
|
244
|
|
|
); |
|
245
|
|
|
|
|
246
|
|
|
DELETE FROM {"grid.egon_etrago_" + comp} |
|
247
|
|
|
WHERE scn_name = '{scn_name}' |
|
248
|
|
|
AND "bus0" IN ( |
|
249
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus |
|
250
|
|
|
WHERE country != 'DE' |
|
251
|
|
|
AND scn_name = '{scn_name}') |
|
252
|
|
|
OR "bus1" IN ( |
|
253
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus |
|
254
|
|
|
WHERE country != 'DE' |
|
255
|
|
|
AND scn_name = '{scn_name}') |
|
256
|
|
|
;""" |
|
257
|
|
|
) |
|
258
|
|
|
|
|
259
|
|
|
db.execute_sql( |
|
260
|
|
|
"DELETE FROM grid.egon_etrago_bus " |
|
261
|
|
|
"WHERE scn_name = '{scn_name}' " |
|
262
|
|
|
"AND country <> 'DE'" |
|
263
|
|
|
) |
|
264
|
|
|
|
|
265
|
|
|
|
|
266
|
|
|
def neighbor_reduction(): |
|
267
|
|
|
|
|
268
|
|
|
network = read_network() |
|
269
|
|
|
|
|
270
|
|
|
wanted_countries = [ |
|
271
|
|
|
"DE", |
|
272
|
|
|
"AT", |
|
273
|
|
|
"CH", |
|
274
|
|
|
"CZ", |
|
275
|
|
|
"PL", |
|
276
|
|
|
"SE", |
|
277
|
|
|
"NO", |
|
278
|
|
|
"DK", |
|
279
|
|
|
"GB", |
|
280
|
|
|
"NL", |
|
281
|
|
|
"BE", |
|
282
|
|
|
"FR", |
|
283
|
|
|
"LU", |
|
284
|
|
|
] |
|
285
|
|
|
foreign_buses = network.buses[ |
|
286
|
|
|
~network.buses.index.str.contains("|".join(wanted_countries)) |
|
287
|
|
|
] |
|
288
|
|
|
network.buses = network.buses.drop( |
|
289
|
|
|
network.buses.loc[foreign_buses.index].index |
|
290
|
|
|
) |
|
291
|
|
|
|
|
292
|
|
|
# drop foreign lines and links from the 2nd row |
|
293
|
|
|
|
|
294
|
|
|
network.lines = network.lines.drop( |
|
295
|
|
|
network.lines[ |
|
296
|
|
|
(network.lines["bus0"].isin(network.buses.index) == False) |
|
297
|
|
|
& (network.lines["bus1"].isin(network.buses.index) == False) |
|
298
|
|
|
].index |
|
299
|
|
|
) |
|
300
|
|
|
|
|
301
|
|
|
# select all lines which have at bus1 the bus which is kept |
|
302
|
|
|
lines_cb_1 = network.lines[ |
|
303
|
|
|
(network.lines["bus0"].isin(network.buses.index) == False) |
|
304
|
|
|
] |
|
305
|
|
|
|
|
306
|
|
|
# create a load at bus1 with the line's hourly loading |
|
307
|
|
|
for i, k in zip(lines_cb_1.bus1.values, lines_cb_1.index): |
|
308
|
|
|
network.add( |
|
309
|
|
|
"Load", |
|
310
|
|
|
"slack_fix " + i + " " + k, |
|
311
|
|
|
bus=i, |
|
312
|
|
|
p_set=network.lines_t.p1[k], |
|
313
|
|
|
) |
|
314
|
|
|
network.loads.carrier.loc[ |
|
315
|
|
|
"slack_fix " + i + " " + k |
|
316
|
|
|
] = lines_cb_1.carrier[k] |
|
317
|
|
|
|
|
318
|
|
|
# select all lines which have at bus0 the bus which is kept |
|
319
|
|
|
lines_cb_0 = network.lines[ |
|
320
|
|
|
(network.lines["bus1"].isin(network.buses.index) == False) |
|
321
|
|
|
] |
|
322
|
|
|
|
|
323
|
|
|
# create a load at bus0 with the line's hourly loading |
|
324
|
|
|
for i, k in zip(lines_cb_0.bus0.values, lines_cb_0.index): |
|
325
|
|
|
network.add( |
|
326
|
|
|
"Load", |
|
327
|
|
|
"slack_fix " + i + " " + k, |
|
328
|
|
|
bus=i, |
|
329
|
|
|
p_set=network.lines_t.p0[k], |
|
330
|
|
|
) |
|
331
|
|
|
network.loads.carrier.loc[ |
|
332
|
|
|
"slack_fix " + i + " " + k |
|
333
|
|
|
] = lines_cb_0.carrier[k] |
|
334
|
|
|
|
|
335
|
|
|
# do the same for links |
|
336
|
|
|
|
|
337
|
|
|
network.links = network.links.drop( |
|
338
|
|
|
network.links[ |
|
339
|
|
|
(network.links["bus0"].isin(network.buses.index) == False) |
|
340
|
|
|
& (network.links["bus1"].isin(network.buses.index) == False) |
|
341
|
|
|
].index |
|
342
|
|
|
) |
|
343
|
|
|
|
|
344
|
|
|
# select all links which have at bus1 the bus which is kept |
|
345
|
|
|
links_cb_1 = network.links[ |
|
346
|
|
|
(network.links["bus0"].isin(network.buses.index) == False) |
|
347
|
|
|
] |
|
348
|
|
|
|
|
349
|
|
|
# create a load at bus1 with the link's hourly loading |
|
350
|
|
|
for i, k in zip(links_cb_1.bus1.values, links_cb_1.index): |
|
351
|
|
|
network.add( |
|
352
|
|
|
"Load", |
|
353
|
|
|
"slack_fix_links " + i + " " + k, |
|
354
|
|
|
bus=i, |
|
355
|
|
|
p_set=network.links_t.p1[k], |
|
356
|
|
|
) |
|
357
|
|
|
network.loads.carrier.loc[ |
|
358
|
|
|
"slack_fix_links " + i + " " + k |
|
359
|
|
|
] = links_cb_1.carrier[k] |
|
360
|
|
|
|
|
361
|
|
|
# select all links which have at bus0 the bus which is kept |
|
362
|
|
|
links_cb_0 = network.links[ |
|
363
|
|
|
(network.links["bus1"].isin(network.buses.index) == False) |
|
364
|
|
|
] |
|
365
|
|
|
|
|
366
|
|
|
# create a load at bus0 with the link's hourly loading |
|
367
|
|
|
for i, k in zip(links_cb_0.bus0.values, links_cb_0.index): |
|
368
|
|
|
network.add( |
|
369
|
|
|
"Load", |
|
370
|
|
|
"slack_fix_links " + i + " " + k, |
|
371
|
|
|
bus=i, |
|
372
|
|
|
p_set=network.links_t.p0[k], |
|
373
|
|
|
) |
|
374
|
|
|
network.loads.carrier.loc[ |
|
375
|
|
|
"slack_fix_links " + i + " " + k |
|
376
|
|
|
] = links_cb_0.carrier[k] |
|
377
|
|
|
|
|
378
|
|
|
# drop remaining foreign components |
|
379
|
|
|
|
|
380
|
|
|
network.lines = network.lines.drop( |
|
381
|
|
|
network.lines[ |
|
382
|
|
|
(network.lines["bus0"].isin(network.buses.index) == False) |
|
383
|
|
|
| (network.lines["bus1"].isin(network.buses.index) == False) |
|
384
|
|
|
].index |
|
385
|
|
|
) |
|
386
|
|
|
|
|
387
|
|
|
network.links = network.links.drop( |
|
388
|
|
|
network.links[ |
|
389
|
|
|
(network.links["bus0"].isin(network.buses.index) == False) |
|
390
|
|
|
| (network.links["bus1"].isin(network.buses.index) == False) |
|
391
|
|
|
].index |
|
392
|
|
|
) |
|
393
|
|
|
|
|
394
|
|
|
network.transformers = network.transformers.drop( |
|
395
|
|
|
network.transformers[ |
|
396
|
|
|
(network.transformers["bus0"].isin(network.buses.index) == False) |
|
397
|
|
|
| (network.transformers["bus1"].isin(network.buses.index) == False) |
|
398
|
|
|
].index |
|
399
|
|
|
) |
|
400
|
|
|
network.generators = network.generators.drop( |
|
401
|
|
|
network.generators[ |
|
402
|
|
|
(network.generators["bus"].isin(network.buses.index) == False) |
|
403
|
|
|
].index |
|
404
|
|
|
) |
|
405
|
|
|
|
|
406
|
|
|
network.loads = network.loads.drop( |
|
407
|
|
|
network.loads[ |
|
408
|
|
|
(network.loads["bus"].isin(network.buses.index) == False) |
|
409
|
|
|
].index |
|
410
|
|
|
) |
|
411
|
|
|
|
|
412
|
|
|
network.storage_units = network.storage_units.drop( |
|
413
|
|
|
network.storage_units[ |
|
414
|
|
|
(network.storage_units["bus"].isin(network.buses.index) == False) |
|
415
|
|
|
].index |
|
416
|
|
|
) |
|
417
|
|
|
|
|
418
|
|
|
components = [ |
|
419
|
|
|
"loads", |
|
420
|
|
|
"generators", |
|
421
|
|
|
"lines", |
|
422
|
|
|
"buses", |
|
423
|
|
|
"transformers", |
|
424
|
|
|
"links", |
|
425
|
|
|
] |
|
426
|
|
|
for g in components: # loads_t |
|
427
|
|
|
h = g + "_t" |
|
428
|
|
|
nw = getattr(network, h) # network.loads_t |
|
429
|
|
|
for i in nw.keys(): # network.loads_t.p |
|
430
|
|
|
cols = [ |
|
431
|
|
|
j |
|
432
|
|
|
for j in getattr(nw, i).columns |
|
433
|
|
|
if j not in getattr(network, g).index |
|
434
|
|
|
] |
|
435
|
|
|
for k in cols: |
|
436
|
|
|
del getattr(nw, i)[k] |
|
437
|
|
|
|
|
438
|
|
|
# writing components of neighboring countries to etrago tables |
|
439
|
|
|
|
|
440
|
|
|
# Set country tag for all buses |
|
441
|
|
|
network.buses.country = network.buses.index.str[:2] |
|
442
|
|
|
neighbors = network.buses[network.buses.country != "DE"] |
|
443
|
|
|
|
|
444
|
|
|
neighbors["new_index"] = ( |
|
445
|
|
|
db.next_etrago_id("bus") + neighbors.reset_index().index |
|
446
|
|
|
) |
|
447
|
|
|
|
|
448
|
|
|
# lines, the foreign crossborder lines |
|
449
|
|
|
# (without crossborder lines to Germany!) |
|
450
|
|
|
|
|
451
|
|
|
neighbor_lines = network.lines[ |
|
452
|
|
|
network.lines.bus0.isin(neighbors.index) |
|
453
|
|
|
& network.lines.bus1.isin(neighbors.index) |
|
454
|
|
|
] |
|
455
|
|
|
if not network.lines_t["s_max_pu"].empty: |
|
456
|
|
|
neighbor_lines_t = network.lines_t["s_max_pu"][neighbor_lines.index] |
|
457
|
|
|
|
|
458
|
|
|
neighbor_lines.reset_index(inplace=True) |
|
459
|
|
|
neighbor_lines.bus0 = ( |
|
460
|
|
|
neighbors.loc[neighbor_lines.bus0, "new_index"].reset_index().new_index |
|
461
|
|
|
) |
|
462
|
|
|
neighbor_lines.bus1 = ( |
|
463
|
|
|
neighbors.loc[neighbor_lines.bus1, "new_index"].reset_index().new_index |
|
464
|
|
|
) |
|
465
|
|
|
neighbor_lines.index += db.next_etrago_id("line") |
|
466
|
|
|
|
|
467
|
|
|
if not network.lines_t["s_max_pu"].empty: |
|
468
|
|
|
for i in neighbor_lines_t.columns: |
|
|
|
|
|
|
469
|
|
|
new_index = neighbor_lines[neighbor_lines["name"] == i].index |
|
470
|
|
|
neighbor_lines_t.rename(columns={i: new_index[0]}, inplace=True) |
|
471
|
|
|
|
|
472
|
|
|
# links |
|
473
|
|
|
neighbor_links = network.links[ |
|
474
|
|
|
network.links.bus0.isin(neighbors.index) |
|
475
|
|
|
& network.links.bus1.isin(neighbors.index) |
|
476
|
|
|
] |
|
477
|
|
|
|
|
478
|
|
|
neighbor_links.reset_index(inplace=True) |
|
479
|
|
|
neighbor_links.bus0 = ( |
|
480
|
|
|
neighbors.loc[neighbor_links.bus0, "new_index"].reset_index().new_index |
|
481
|
|
|
) |
|
482
|
|
|
neighbor_links.bus1 = ( |
|
483
|
|
|
neighbors.loc[neighbor_links.bus1, "new_index"].reset_index().new_index |
|
484
|
|
|
) |
|
485
|
|
|
neighbor_links.index += db.next_etrago_id("link") |
|
486
|
|
|
|
|
487
|
|
|
# generators |
|
488
|
|
|
neighbor_gens = network.generators[ |
|
489
|
|
|
network.generators.bus.isin(neighbors.index) |
|
490
|
|
|
] |
|
491
|
|
|
neighbor_gens_t = network.generators_t["p_max_pu"][ |
|
492
|
|
|
neighbor_gens[ |
|
493
|
|
|
neighbor_gens.index.isin(network.generators_t["p_max_pu"].columns) |
|
494
|
|
|
].index |
|
495
|
|
|
] |
|
496
|
|
|
|
|
497
|
|
|
neighbor_gens.reset_index(inplace=True) |
|
498
|
|
|
neighbor_gens.bus = ( |
|
499
|
|
|
neighbors.loc[neighbor_gens.bus, "new_index"].reset_index().new_index |
|
500
|
|
|
) |
|
501
|
|
|
neighbor_gens.index += db.next_etrago_id("generator") |
|
502
|
|
|
|
|
503
|
|
|
for i in neighbor_gens_t.columns: |
|
504
|
|
|
new_index = neighbor_gens[neighbor_gens["name"] == i].index |
|
505
|
|
|
neighbor_gens_t.rename(columns={i: new_index[0]}, inplace=True) |
|
506
|
|
|
|
|
507
|
|
|
# loads |
|
508
|
|
|
|
|
509
|
|
|
neighbor_loads = network.loads[network.loads.bus.isin(neighbors.index)] |
|
510
|
|
|
neighbor_loads_t_index = neighbor_loads.index[ |
|
511
|
|
|
neighbor_loads.index.isin(network.loads_t.p_set.columns) |
|
512
|
|
|
] |
|
513
|
|
|
neighbor_loads_t = network.loads_t["p_set"][neighbor_loads_t_index] |
|
514
|
|
|
|
|
515
|
|
|
neighbor_loads.reset_index(inplace=True) |
|
516
|
|
|
neighbor_loads.bus = ( |
|
517
|
|
|
neighbors.loc[neighbor_loads.bus, "new_index"].reset_index().new_index |
|
518
|
|
|
) |
|
519
|
|
|
neighbor_loads.index += db.next_etrago_id("load") |
|
520
|
|
|
|
|
521
|
|
|
for i in neighbor_loads_t.columns: |
|
522
|
|
|
new_index = neighbor_loads[neighbor_loads["index"] == i].index |
|
523
|
|
|
neighbor_loads_t.rename(columns={i: new_index[0]}, inplace=True) |
|
524
|
|
|
|
|
525
|
|
|
# stores |
|
526
|
|
|
neighbor_stores = network.stores[network.stores.bus.isin(neighbors.index)] |
|
527
|
|
|
neighbor_stores_t_index = neighbor_stores.index[ |
|
528
|
|
|
neighbor_stores.index.isin(network.stores_t.e_min_pu.columns) |
|
529
|
|
|
] |
|
530
|
|
|
neighbor_stores_t = network.stores_t["e_min_pu"][neighbor_stores_t_index] |
|
531
|
|
|
|
|
532
|
|
|
neighbor_stores.reset_index(inplace=True) |
|
533
|
|
|
neighbor_stores.bus = ( |
|
534
|
|
|
neighbors.loc[neighbor_stores.bus, "new_index"].reset_index().new_index |
|
535
|
|
|
) |
|
536
|
|
|
neighbor_stores.index += db.next_etrago_id("store") |
|
537
|
|
|
|
|
538
|
|
|
for i in neighbor_stores_t.columns: |
|
539
|
|
|
new_index = neighbor_stores[neighbor_stores["name"] == i].index |
|
540
|
|
|
neighbor_stores_t.rename(columns={i: new_index[0]}, inplace=True) |
|
541
|
|
|
|
|
542
|
|
|
# storage_units |
|
543
|
|
|
neighbor_storage = network.storage_units[ |
|
544
|
|
|
network.storage_units.bus.isin(neighbors.index) |
|
545
|
|
|
] |
|
546
|
|
|
neighbor_storage_t_index = neighbor_storage.index[ |
|
547
|
|
|
neighbor_storage.index.isin(network.storage_units_t.inflow.columns) |
|
548
|
|
|
] |
|
549
|
|
|
neighbor_storage_t = network.storage_units_t["inflow"][ |
|
550
|
|
|
neighbor_storage_t_index |
|
551
|
|
|
] |
|
552
|
|
|
|
|
553
|
|
|
neighbor_storage.reset_index(inplace=True) |
|
554
|
|
|
neighbor_storage.bus = ( |
|
555
|
|
|
neighbors.loc[neighbor_storage.bus, "new_index"] |
|
556
|
|
|
.reset_index() |
|
557
|
|
|
.new_index |
|
558
|
|
|
) |
|
559
|
|
|
neighbor_storage.index += db.next_etrago_id("storage") |
|
560
|
|
|
|
|
561
|
|
|
for i in neighbor_storage_t.columns: |
|
562
|
|
|
new_index = neighbor_storage[neighbor_storage["name"] == i].index |
|
563
|
|
|
neighbor_storage_t.rename(columns={i: new_index[0]}, inplace=True) |
|
564
|
|
|
|
|
565
|
|
|
# Connect to local database |
|
566
|
|
|
engine = db.engine() |
|
567
|
|
|
|
|
568
|
|
|
neighbors["scn_name"] = "eGon100RE" |
|
569
|
|
|
neighbors.index = neighbors["new_index"] |
|
570
|
|
|
|
|
571
|
|
|
# Correct geometry for non AC buses |
|
572
|
|
|
carriers = set(neighbors.carrier.to_list()) |
|
573
|
|
|
carriers.remove("AC") |
|
574
|
|
|
non_AC_neighbors = pd.DataFrame() |
|
575
|
|
|
for c in carriers: |
|
576
|
|
|
c_neighbors = neighbors[neighbors.carrier == c].set_index( |
|
577
|
|
|
"location", drop=False |
|
578
|
|
|
) |
|
579
|
|
|
for i in ["x", "y"]: |
|
580
|
|
|
c_neighbors = c_neighbors.drop(i, axis=1) |
|
581
|
|
|
coordinates = neighbors[neighbors.carrier == "AC"][ |
|
582
|
|
|
["location", "x", "y"] |
|
583
|
|
|
].set_index("location") |
|
584
|
|
|
c_neighbors = pd.concat([coordinates, c_neighbors], axis=1).set_index( |
|
585
|
|
|
"new_index", drop=False |
|
586
|
|
|
) |
|
587
|
|
|
non_AC_neighbors = non_AC_neighbors.append(c_neighbors) |
|
588
|
|
|
neighbors = neighbors[neighbors.carrier == "AC"].append(non_AC_neighbors) |
|
589
|
|
|
|
|
590
|
|
|
for i in ["new_index", "control", "generator", "location", "sub_network"]: |
|
591
|
|
|
neighbors = neighbors.drop(i, axis=1) |
|
592
|
|
|
|
|
593
|
|
|
# Add geometry column |
|
594
|
|
|
neighbors = ( |
|
595
|
|
|
gpd.GeoDataFrame( |
|
596
|
|
|
neighbors, geometry=gpd.points_from_xy(neighbors.x, neighbors.y) |
|
597
|
|
|
) |
|
598
|
|
|
.rename_geometry("geom") |
|
599
|
|
|
.set_crs(4326) |
|
600
|
|
|
) |
|
601
|
|
|
|
|
602
|
|
|
# Unify carrier names |
|
603
|
|
|
neighbors.carrier.replace( |
|
604
|
|
|
{ |
|
605
|
|
|
"gas": "CH4", |
|
606
|
|
|
"gas_for_industry": "CH4_for_industry", |
|
607
|
|
|
}, |
|
608
|
|
|
inplace=True, |
|
609
|
|
|
) |
|
610
|
|
|
|
|
611
|
|
|
neighbors.to_postgis( |
|
612
|
|
|
"egon_etrago_bus", |
|
613
|
|
|
engine, |
|
614
|
|
|
schema="grid", |
|
615
|
|
|
if_exists="append", |
|
616
|
|
|
index=True, |
|
617
|
|
|
index_label="bus_id", |
|
618
|
|
|
) |
|
619
|
|
|
|
|
620
|
|
|
# prepare and write neighboring crossborder lines to etrago tables |
|
621
|
|
|
def lines_to_etrago(neighbor_lines=neighbor_lines, scn="eGon100RE"): |
|
622
|
|
|
neighbor_lines["scn_name"] = scn |
|
623
|
|
|
neighbor_lines["cables"] = 3 * neighbor_lines["num_parallel"].astype( |
|
624
|
|
|
int |
|
625
|
|
|
) |
|
626
|
|
|
neighbor_lines["s_nom"] = neighbor_lines["s_nom_min"] |
|
627
|
|
|
|
|
628
|
|
|
for i in [ |
|
629
|
|
|
"name", |
|
630
|
|
|
"x_pu_eff", |
|
631
|
|
|
"r_pu_eff", |
|
632
|
|
|
"sub_network", |
|
633
|
|
|
"x_pu", |
|
634
|
|
|
"r_pu", |
|
635
|
|
|
"g_pu", |
|
636
|
|
|
"b_pu", |
|
637
|
|
|
"s_nom_opt", |
|
638
|
|
|
]: |
|
639
|
|
|
neighbor_lines = neighbor_lines.drop(i, axis=1) |
|
640
|
|
|
|
|
641
|
|
|
# Define geometry and add to lines dataframe as 'topo' |
|
642
|
|
|
gdf = gpd.GeoDataFrame(index=neighbor_lines.index) |
|
643
|
|
|
gdf["geom_bus0"] = neighbors.geom[neighbor_lines.bus0].values |
|
644
|
|
|
gdf["geom_bus1"] = neighbors.geom[neighbor_lines.bus1].values |
|
645
|
|
|
gdf["geometry"] = gdf.apply( |
|
646
|
|
|
lambda x: LineString([x["geom_bus0"], x["geom_bus1"]]), axis=1 |
|
647
|
|
|
) |
|
648
|
|
|
|
|
649
|
|
|
neighbor_lines = ( |
|
650
|
|
|
gpd.GeoDataFrame(neighbor_lines, geometry=gdf["geometry"]) |
|
651
|
|
|
.rename_geometry("topo") |
|
652
|
|
|
.set_crs(4326) |
|
653
|
|
|
) |
|
654
|
|
|
|
|
655
|
|
|
neighbor_lines["lifetime"] = get_sector_parameters("electricity", scn)[ |
|
656
|
|
|
"lifetime" |
|
657
|
|
|
]["ac_ehv_overhead_line"] |
|
658
|
|
|
|
|
659
|
|
|
neighbor_lines.to_postgis( |
|
660
|
|
|
"egon_etrago_line", |
|
661
|
|
|
engine, |
|
662
|
|
|
schema="grid", |
|
663
|
|
|
if_exists="append", |
|
664
|
|
|
index=True, |
|
665
|
|
|
index_label="line_id", |
|
666
|
|
|
) |
|
667
|
|
|
|
|
668
|
|
|
lines_to_etrago(neighbor_lines=neighbor_lines, scn="eGon100RE") |
|
669
|
|
|
lines_to_etrago(neighbor_lines=neighbor_lines, scn="eGon2035") |
|
670
|
|
|
|
|
671
|
|
|
# prepare and write neighboring crossborder links to etrago tables |
|
672
|
|
|
def links_to_etrago(neighbor_links, scn="eGon100RE"): |
|
673
|
|
|
neighbor_links["scn_name"] = scn |
|
674
|
|
|
|
|
675
|
|
|
for i in [ |
|
676
|
|
|
"name", |
|
677
|
|
|
"geometry", |
|
678
|
|
|
"tags", |
|
679
|
|
|
"under_construction", |
|
680
|
|
|
"underground", |
|
681
|
|
|
"underwater_fraction", |
|
682
|
|
|
"bus2", |
|
683
|
|
|
"bus3", |
|
684
|
|
|
"bus4", |
|
685
|
|
|
"efficiency2", |
|
686
|
|
|
"efficiency3", |
|
687
|
|
|
"efficiency4", |
|
688
|
|
|
"lifetime", |
|
689
|
|
|
"p_nom_opt", |
|
690
|
|
|
]: |
|
691
|
|
|
neighbor_links = neighbor_links.drop(i, axis=1) |
|
692
|
|
|
|
|
693
|
|
|
# Define geometry and add to lines dataframe as 'topo' |
|
694
|
|
|
gdf = gpd.GeoDataFrame(index=neighbor_links.index) |
|
695
|
|
|
gdf["geom_bus0"] = neighbors.geom[neighbor_links.bus0].values |
|
696
|
|
|
gdf["geom_bus1"] = neighbors.geom[neighbor_links.bus1].values |
|
697
|
|
|
gdf["geometry"] = gdf.apply( |
|
698
|
|
|
lambda x: LineString([x["geom_bus0"], x["geom_bus1"]]), axis=1 |
|
699
|
|
|
) |
|
700
|
|
|
|
|
701
|
|
|
neighbor_links = ( |
|
702
|
|
|
gpd.GeoDataFrame(neighbor_links, geometry=gdf["geometry"]) |
|
703
|
|
|
.rename_geometry("topo") |
|
704
|
|
|
.set_crs(4326) |
|
705
|
|
|
) |
|
706
|
|
|
|
|
707
|
|
|
# Unify carrier names |
|
708
|
|
|
neighbor_links.carrier = neighbor_links.carrier.str.replace(" ", "_") |
|
709
|
|
|
|
|
710
|
|
|
neighbor_links.carrier.replace( |
|
711
|
|
|
{ |
|
712
|
|
|
"H2_Electrolysis": "power_to_H2", |
|
713
|
|
|
"H2_Fuel_Cell": "H2_to_power", |
|
714
|
|
|
"H2_pipeline_retrofitted": "H2_retrofit", |
|
715
|
|
|
"SMR": "CH4_to_H2", |
|
716
|
|
|
"SMR_CC": "CH4_to_H2_CC", |
|
717
|
|
|
"Sabatier": "H2_to_CH4", |
|
718
|
|
|
"gas_for_industry": "CH4_for_industry", |
|
719
|
|
|
"gas_for_industry_CC": "CH4_for_industry_CC", |
|
720
|
|
|
"gas_pipeline": "CH4", |
|
721
|
|
|
}, |
|
722
|
|
|
inplace=True, |
|
723
|
|
|
) |
|
724
|
|
|
|
|
725
|
|
|
neighbor_links.to_postgis( |
|
726
|
|
|
"egon_etrago_link", |
|
727
|
|
|
engine, |
|
728
|
|
|
schema="grid", |
|
729
|
|
|
if_exists="append", |
|
730
|
|
|
index=True, |
|
731
|
|
|
index_label="link_id", |
|
732
|
|
|
) |
|
733
|
|
|
|
|
734
|
|
|
links_to_etrago(neighbor_links, "eGon100RE") |
|
735
|
|
|
links_to_etrago(neighbor_links[neighbor_links.carrier == "DC"], "eGon2035") |
|
736
|
|
|
|
|
737
|
|
|
# prepare neighboring generators for etrago tables |
|
738
|
|
|
neighbor_gens["scn_name"] = "eGon100RE" |
|
739
|
|
|
neighbor_gens["p_nom"] = neighbor_gens["p_nom_opt"] |
|
740
|
|
|
neighbor_gens["p_nom_extendable"] = False |
|
741
|
|
|
|
|
742
|
|
|
# Unify carrier names |
|
743
|
|
|
neighbor_gens.carrier = neighbor_gens.carrier.str.replace(" ", "_") |
|
744
|
|
|
|
|
745
|
|
|
neighbor_gens.carrier.replace( |
|
746
|
|
|
{ |
|
747
|
|
|
"onwind": "wind_onshore", |
|
748
|
|
|
"ror": "run_of_river", |
|
749
|
|
|
"offwind-ac": "wind_offshore", |
|
750
|
|
|
"offwind-dc": "wind_offshore", |
|
751
|
|
|
"urban_central_solar_thermal": "urban_central_solar_thermal_collector", |
|
752
|
|
|
"residential_rural_solar_thermal": "residential_rural_solar_thermal_collector", |
|
753
|
|
|
"services_rural_solar_thermal": "services_rural_solar_thermal_collector", |
|
754
|
|
|
}, |
|
755
|
|
|
inplace=True, |
|
756
|
|
|
) |
|
757
|
|
|
|
|
758
|
|
|
for i in ["name", "weight", "lifetime", "p_set", "q_set", "p_nom_opt"]: |
|
759
|
|
|
neighbor_gens = neighbor_gens.drop(i, axis=1) |
|
760
|
|
|
|
|
761
|
|
|
neighbor_gens.to_sql( |
|
762
|
|
|
"egon_etrago_generator", |
|
763
|
|
|
engine, |
|
764
|
|
|
schema="grid", |
|
765
|
|
|
if_exists="append", |
|
766
|
|
|
index=True, |
|
767
|
|
|
index_label="generator_id", |
|
768
|
|
|
) |
|
769
|
|
|
|
|
770
|
|
|
# prepare neighboring loads for etrago tables |
|
771
|
|
|
neighbor_loads["scn_name"] = "eGon100RE" |
|
772
|
|
|
|
|
773
|
|
|
# Unify carrier names |
|
774
|
|
|
neighbor_loads.carrier = neighbor_loads.carrier.str.replace(" ", "_") |
|
775
|
|
|
|
|
776
|
|
|
neighbor_loads.carrier.replace( |
|
777
|
|
|
{ |
|
778
|
|
|
"electricity": "AC", |
|
779
|
|
|
"DC": "AC", |
|
780
|
|
|
"industry_electricity": "AC", |
|
781
|
|
|
"H2_pipeline": "H2_system_boundary", |
|
782
|
|
|
"gas_for_industry": "CH4_for_industry", |
|
783
|
|
|
}, |
|
784
|
|
|
inplace=True, |
|
785
|
|
|
) |
|
786
|
|
|
|
|
787
|
|
|
for i in ["index", "p_set", "q_set"]: |
|
788
|
|
|
neighbor_loads = neighbor_loads.drop(i, axis=1) |
|
789
|
|
|
|
|
790
|
|
|
neighbor_loads.to_sql( |
|
791
|
|
|
"egon_etrago_load", |
|
792
|
|
|
engine, |
|
793
|
|
|
schema="grid", |
|
794
|
|
|
if_exists="append", |
|
795
|
|
|
index=True, |
|
796
|
|
|
index_label="load_id", |
|
797
|
|
|
) |
|
798
|
|
|
|
|
799
|
|
|
# prepare neighboring stores for etrago tables |
|
800
|
|
|
neighbor_stores["scn_name"] = "eGon100RE" |
|
801
|
|
|
|
|
802
|
|
|
# Unify carrier names |
|
803
|
|
|
neighbor_stores.carrier = neighbor_stores.carrier.str.replace(" ", "_") |
|
804
|
|
|
|
|
805
|
|
|
neighbor_stores.carrier.replace( |
|
806
|
|
|
{ |
|
807
|
|
|
"Li_ion": "battery", |
|
808
|
|
|
"gas": "CH4", |
|
809
|
|
|
}, |
|
810
|
|
|
inplace=True, |
|
811
|
|
|
) |
|
812
|
|
|
neighbor_stores.loc[ |
|
813
|
|
|
( |
|
814
|
|
|
(neighbor_stores.e_nom_max <= 1e9) |
|
815
|
|
|
& (neighbor_stores.carrier == "H2") |
|
816
|
|
|
), |
|
817
|
|
|
"carrier", |
|
818
|
|
|
] = "H2_underground" |
|
819
|
|
|
neighbor_stores.loc[ |
|
820
|
|
|
( |
|
821
|
|
|
(neighbor_stores.e_nom_max > 1e9) |
|
822
|
|
|
& (neighbor_stores.carrier == "H2") |
|
823
|
|
|
), |
|
824
|
|
|
"carrier", |
|
825
|
|
|
] = "H2_overground" |
|
826
|
|
|
|
|
827
|
|
|
for i in ["name", "p_set", "q_set", "e_nom_opt", "lifetime"]: |
|
828
|
|
|
neighbor_stores = neighbor_stores.drop(i, axis=1) |
|
829
|
|
|
|
|
830
|
|
|
neighbor_stores.to_sql( |
|
831
|
|
|
"egon_etrago_store", |
|
832
|
|
|
engine, |
|
833
|
|
|
schema="grid", |
|
834
|
|
|
if_exists="append", |
|
835
|
|
|
index=True, |
|
836
|
|
|
index_label="store_id", |
|
837
|
|
|
) |
|
838
|
|
|
|
|
839
|
|
|
# prepare neighboring storage_units for etrago tables |
|
840
|
|
|
neighbor_storage["scn_name"] = "eGon100RE" |
|
841
|
|
|
|
|
842
|
|
|
# Unify carrier names |
|
843
|
|
|
neighbor_storage.carrier = neighbor_storage.carrier.str.replace(" ", "_") |
|
844
|
|
|
|
|
845
|
|
|
neighbor_storage.carrier.replace( |
|
846
|
|
|
{"PHS": "pumped_hydro", "hydro": "reservoir"}, inplace=True |
|
847
|
|
|
) |
|
848
|
|
|
|
|
849
|
|
|
for i in ["name", "p_nom_opt"]: |
|
850
|
|
|
neighbor_storage = neighbor_storage.drop(i, axis=1) |
|
851
|
|
|
|
|
852
|
|
|
neighbor_storage.to_sql( |
|
853
|
|
|
"egon_etrago_storage", |
|
854
|
|
|
engine, |
|
855
|
|
|
schema="grid", |
|
856
|
|
|
if_exists="append", |
|
857
|
|
|
index=True, |
|
858
|
|
|
index_label="storage_id", |
|
859
|
|
|
) |
|
860
|
|
|
|
|
861
|
|
|
# writing neighboring loads_t p_sets to etrago tables |
|
862
|
|
|
|
|
863
|
|
|
neighbor_loads_t_etrago = pd.DataFrame( |
|
864
|
|
|
columns=["scn_name", "temp_id", "p_set"], |
|
865
|
|
|
index=neighbor_loads_t.columns, |
|
866
|
|
|
) |
|
867
|
|
|
neighbor_loads_t_etrago["scn_name"] = "eGon100RE" |
|
868
|
|
|
neighbor_loads_t_etrago["temp_id"] = 1 |
|
869
|
|
|
for i in neighbor_loads_t.columns: |
|
870
|
|
|
neighbor_loads_t_etrago["p_set"][i] = neighbor_loads_t[ |
|
871
|
|
|
i |
|
872
|
|
|
].values.tolist() |
|
873
|
|
|
|
|
874
|
|
|
neighbor_loads_t_etrago.to_sql( |
|
875
|
|
|
"egon_etrago_load_timeseries", |
|
876
|
|
|
engine, |
|
877
|
|
|
schema="grid", |
|
878
|
|
|
if_exists="append", |
|
879
|
|
|
index=True, |
|
880
|
|
|
index_label="load_id", |
|
881
|
|
|
) |
|
882
|
|
|
|
|
883
|
|
|
# writing neighboring generator_t p_max_pu to etrago tables |
|
884
|
|
|
neighbor_gens_t_etrago = pd.DataFrame( |
|
885
|
|
|
columns=["scn_name", "temp_id", "p_max_pu"], |
|
886
|
|
|
index=neighbor_gens_t.columns, |
|
887
|
|
|
) |
|
888
|
|
|
neighbor_gens_t_etrago["scn_name"] = "eGon100RE" |
|
889
|
|
|
neighbor_gens_t_etrago["temp_id"] = 1 |
|
890
|
|
|
for i in neighbor_gens_t.columns: |
|
891
|
|
|
neighbor_gens_t_etrago["p_max_pu"][i] = neighbor_gens_t[ |
|
892
|
|
|
i |
|
893
|
|
|
].values.tolist() |
|
894
|
|
|
|
|
895
|
|
|
neighbor_gens_t_etrago.to_sql( |
|
896
|
|
|
"egon_etrago_generator_timeseries", |
|
897
|
|
|
engine, |
|
898
|
|
|
schema="grid", |
|
899
|
|
|
if_exists="append", |
|
900
|
|
|
index=True, |
|
901
|
|
|
index_label="generator_id", |
|
902
|
|
|
) |
|
903
|
|
|
|
|
904
|
|
|
# writing neighboring stores_t e_min_pu to etrago tables |
|
905
|
|
|
neighbor_stores_t_etrago = pd.DataFrame( |
|
906
|
|
|
columns=["scn_name", "temp_id", "e_min_pu"], |
|
907
|
|
|
index=neighbor_stores_t.columns, |
|
908
|
|
|
) |
|
909
|
|
|
neighbor_stores_t_etrago["scn_name"] = "eGon100RE" |
|
910
|
|
|
neighbor_stores_t_etrago["temp_id"] = 1 |
|
911
|
|
|
for i in neighbor_stores_t.columns: |
|
912
|
|
|
neighbor_stores_t_etrago["e_min_pu"][i] = neighbor_stores_t[ |
|
913
|
|
|
i |
|
914
|
|
|
].values.tolist() |
|
915
|
|
|
|
|
916
|
|
|
neighbor_stores_t_etrago.to_sql( |
|
917
|
|
|
"egon_etrago_store_timeseries", |
|
918
|
|
|
engine, |
|
919
|
|
|
schema="grid", |
|
920
|
|
|
if_exists="append", |
|
921
|
|
|
index=True, |
|
922
|
|
|
index_label="store_id", |
|
923
|
|
|
) |
|
924
|
|
|
|
|
925
|
|
|
# writing neighboring storage_units inflow to etrago tables |
|
926
|
|
|
neighbor_storage_t_etrago = pd.DataFrame( |
|
927
|
|
|
columns=["scn_name", "temp_id", "inflow"], |
|
928
|
|
|
index=neighbor_storage_t.columns, |
|
929
|
|
|
) |
|
930
|
|
|
neighbor_storage_t_etrago["scn_name"] = "eGon100RE" |
|
931
|
|
|
neighbor_storage_t_etrago["temp_id"] = 1 |
|
932
|
|
|
for i in neighbor_storage_t.columns: |
|
933
|
|
|
neighbor_storage_t_etrago["inflow"][i] = neighbor_storage_t[ |
|
934
|
|
|
i |
|
935
|
|
|
].values.tolist() |
|
936
|
|
|
|
|
937
|
|
|
neighbor_storage_t_etrago.to_sql( |
|
938
|
|
|
"egon_etrago_storage_timeseries", |
|
939
|
|
|
engine, |
|
940
|
|
|
schema="grid", |
|
941
|
|
|
if_exists="append", |
|
942
|
|
|
index=True, |
|
943
|
|
|
index_label="storage_id", |
|
944
|
|
|
) |
|
945
|
|
|
|
|
946
|
|
|
# writing neighboring lines_t s_max_pu to etrago tables |
|
947
|
|
|
if not network.lines_t["s_max_pu"].empty: |
|
948
|
|
|
neighbor_lines_t_etrago = pd.DataFrame( |
|
949
|
|
|
columns=["scn_name", "s_max_pu"], index=neighbor_lines_t.columns |
|
950
|
|
|
) |
|
951
|
|
|
neighbor_lines_t_etrago["scn_name"] = "eGon100RE" |
|
952
|
|
|
|
|
953
|
|
|
for i in neighbor_lines_t.columns: |
|
954
|
|
|
neighbor_lines_t_etrago["s_max_pu"][i] = neighbor_lines_t[ |
|
955
|
|
|
i |
|
956
|
|
|
].values.tolist() |
|
957
|
|
|
|
|
958
|
|
|
neighbor_lines_t_etrago.to_sql( |
|
959
|
|
|
"egon_etrago_line_timeseries", |
|
960
|
|
|
engine, |
|
961
|
|
|
schema="grid", |
|
962
|
|
|
if_exists="append", |
|
963
|
|
|
index=True, |
|
964
|
|
|
index_label="line_id", |
|
965
|
|
|
) |
|
966
|
|
|
|
|
967
|
|
|
|
|
968
|
|
|
# Skip execution of pypsa-eur-sec by default until optional task is implemented |
|
969
|
|
|
execute_pypsa_eur_sec = False |
|
970
|
|
|
|
|
971
|
|
|
if execute_pypsa_eur_sec: |
|
972
|
|
|
tasks = (run_pypsa_eur_sec, clean_database, neighbor_reduction) |
|
973
|
|
|
else: |
|
974
|
|
|
tasks = (clean_database, neighbor_reduction) |
|
975
|
|
|
|
|
976
|
|
|
|
|
977
|
|
|
class PypsaEurSec(Dataset): |
|
978
|
|
|
def __init__(self, dependencies): |
|
979
|
|
|
super().__init__( |
|
980
|
|
|
name="PypsaEurSec", |
|
981
|
|
|
version="0.0.7", |
|
982
|
|
|
dependencies=dependencies, |
|
983
|
|
|
tasks=tasks, |
|
984
|
|
|
) |
|
985
|
|
|
|
openego /
eGon-data
Loading history...