-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathstrategies.py
executable file
·438 lines (345 loc) · 21.8 KB
/
strategies.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
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
from framework import *
from typing import List, Optional, Literal
from clean_api import get_request
from datetime import timedelta
from copy import deepcopy
from random import randrange
from framework import retrieve_plan
import pandas as pd
PRICE_VARIATION = 20
BIOMASS_COST = 100 / 1000 # Divided by 1000, because the price is per kWh instead of per MWh
FORECAST = pd.read_csv("forecast/forecast.csv")
MEDIAN_E_PRICE = FORECAST["E_marketprice"].median()
MEDIAN_G_PRICE = FORECAST["G_marketprice"].median()
MEDIAN_H_PRICE = FORECAST["H_marketprice"].median()
def duplicate_over_time(bid: Bid, market_info: MarketInfo) -> List[Bid]:
bids = []
for i in range(int((market_info.end_time - market_info.start_time).total_seconds() / 900)):
timeslot = market_info.start_time + timedelta(minutes=15 * i)
clone = deepcopy(bid)
clone.timeslot = timeslot
bids.append(clone)
return bids
def retrieve_adjusted_plan(agent: str, commodity: Literal["E", "G", "H"], market_info: MarketInfo, asset_short_name: str) -> pd.Series:
plan = retrieve_plan(agent, commodity, market_info, asset_short_name, include_open_bids=True)
plan *= 1000 / (15 * 60)
return plan
# def retrieve_plan(agent: str, commodity: Literal["E", "G", "H"], market_info: MarketInfo, asset_short_name: Optional[str] = None) -> pd.Series:
# # For debugging:
# # market_info = MarketInfo(1, "E", datetime.datetime(2023, 10, 11), datetime.datetime(2023, 10, 11, 23)
# got_intraday = True
# param = { "AgentName": agent, "Commodity": commodity, "VirtualStartDatetime": market_info.start_time.isoformat(), "VirtualEndDatetime": market_info.end_time.isoformat() }
# plan = get_request("readIntradayPlan", param)
# if len(plan) == 0:
# got_intraday = False
# plan = get_request("readDayAheadPlan", param)
# for datum in plan:
# if datum["Status"] == 2:
# datum["PlannedQuantity"] = 0
# continue
# if asset_short_name is not None and "AssetShortName" in datum and datum["AssetShortName"] == asset_short_name:
# datum["PlannedQuantity"] = 0
# continue
# if not got_intraday and market_info.kind == MarketKind.INTRADAY and datum["Status"] == 0:
# datum["PlannedQuantity"] = 0
# continue
# datum["PlannedQuantity"] *= 1000
# datum["PlannedQuantity"] /= 15 * 60
# dates = pd.date_range(market_info.start_time, market_info.end_time, freq='15min')
# data = pd.Series(0.0, index=dates)
# data = data.rename("value")
# data.index.name = "timestep"
# processed = {}
# for datum in plan:
# time = datum["TimeslotStartTime"]
# amount = float(datum["PlannedQuantity"])
# if time in processed:
# data[time] += amount
# return data
def find_profile(asset: esdl.EnergyAsset) -> esdl.InfluxDBProfile:
for content in asset.eAllContents():
if isinstance(content, esdl.InfluxDBProfile):
return content
raise Exception(f"Could not find InfluxDBProfile under asset {asset.shortName}")
@strategy(id=["AGENT_SFIELD_PV", "AGENT_WIR_PV", "AGENT_LWD_PV", "AGENT_GEMI_WT"])
def renewable_generic(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
producer = my_assets.get(esdl.ElectricityProducer)
profile = find_profile(producer)
target = energy_system.get_profile(profile.name, market_info) * int(profile.multiplier)
actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, producer.shortName)
difference = target - actual
price = 0
return [Bid(BidKind.SUPPLY, price, power, "E", time, producer.shortName) for time, power in difference.items()]
@strategy(id=["AGENT_LWD_AEN", "AGENT_LWD_ED2"])
def e_demand_generic(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
demand = my_assets.get(esdl.ElectricityDemand)
actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, demand.shortName)
difference = demand.power - actual
price = 900 + randrange(0, PRICE_VARIATION)
return [Bid(BidKind.DEMAND, price, power, "E", time, demand.shortName) for time, power in difference.items()]
@strategy(id=["AGENT_OCIN_GD", "AGENT_VLEN_GD"])
def g_demand_generic(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
demand = my_assets.get(esdl.GasDemand)
if isinstance(demand, list) and len(demand) == 0:
demand = my_assets.get(esdl.MobilityDemand)
actual = retrieve_adjusted_plan(my_assets.agent, "G", market_info, demand.shortName)
difference = demand.power - actual
price = 900 + randrange(0, PRICE_VARIATION)
bids = [Bid(BidKind.DEMAND, price, power, "G", time, demand.shortName) for time, power in difference.items()]
return bids
@strategy(id="AGENT_GSP_2")
def h_demand_generic(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
demand = my_assets.get(esdl.HeatingDemand)
actual = retrieve_adjusted_plan(my_assets.agent, "H", market_info, demand.shortName)
difference = demand.power - actual
price = 900 + randrange(0, PRICE_VARIATION)
return [Bid(BidKind.DEMAND, price, power, "H", time, demand.shortName) for time, power in difference.items()]
@strategy(id=["AGENT_BERMG"])
def bermgras(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
demand = my_assets.get(esdl.ElectricityDemand)
actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, demand.shortName)
difference = demand.power - actual
price = 900 + randrange(0, PRICE_VARIATION)
e_bids = [Bid(BidKind.DEMAND, price, power, "E", time, demand.shortName) for time, power in difference.items()]
residual_heat = my_assets.get(esdl.ResidualHeatSource)
actual = retrieve_adjusted_plan(my_assets.agent, "H", market_info, residual_heat.shortName)
difference = residual_heat.power - actual
price = 0
h_bids = [Bid(BidKind.SUPPLY, price, power, "H", time, residual_heat.shortName) for time, power in difference.items()]
return e_bids + h_bids
@strategy(id=["AGENT_BIOLNG"])
def biolng(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
demand = my_assets.get(esdl.ElectricityDemand)
hp = my_assets.get(esdl.HeatPump)
actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, demand.shortName)
difference = demand.power + hp.power - actual
price = 900 + randrange(0, PRICE_VARIATION)
e_bids = [Bid(BidKind.DEMAND, price, power, "E", time, demand.shortName) for time, power in difference.items()]
residual_heat = my_assets.get(esdl.ResidualHeatSource)
actual = retrieve_adjusted_plan(my_assets.agent, "H", market_info, residual_heat.shortName)
difference = residual_heat.power - actual
price = 0
h_bids = [Bid(BidKind.SUPPLY, price, power, "H", time, residual_heat.shortName) for time, power in difference.items()]
return e_bids + h_bids
@strategy(id=["AGENT_GASU_GS", "AGENT_LWD_GS"])
def gas_storage(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
storage = my_assets.get(esdl.GasStorage)
prices = FORECAST["G_marketprice"]
target = storage.maxDischargeRate
if target is None:
target = storage.maxChargeRate
positive_price = prices > MEDIAN_G_PRICE
bid_kinds = positive_price.apply(lambda x: BidKind.SUPPLY if x else BidKind.DEMAND)
actual = retrieve_adjusted_plan(my_assets.agent, "G", market_info, storage.shortName)
difference = target - actual
return [Bid(bid_kind, MEDIAN_G_PRICE, power, "G", time, storage.shortName) for (time, power), bid_kind in zip(difference.items(), bid_kinds)]
@strategy(id=["AGENT_GIGA_BA", "AGENT_LWD_ED1"])
def battery(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
storage = my_assets.get(esdl.Battery)
prices = FORECAST["E_marketprice"]
target = storage.maxDischargeRate
if target is None:
target = storage.maxChargeRate
positive_price = prices > MEDIAN_E_PRICE
bid_kinds = positive_price.apply(lambda x: BidKind.SUPPLY if x else BidKind.DEMAND)
actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, storage.shortName)
difference = target - actual
return [Bid(bid_kind, MEDIAN_E_PRICE, power, "E", time, storage.shortName) for (time, power), bid_kind in zip(difference.items(), bid_kinds)]
@strategy(id=["AGENT_LWD_EB"])
def eboiler_lwd(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
boiler = my_assets.get(esdl.ElectricBoiler)
actual_e = retrieve_adjusted_plan(my_assets.agent, "E", market_info, boiler.shortName)
actual_h = retrieve_adjusted_plan(my_assets.agent, "H", market_info, boiler.shortName)
difference_e = float(boiler.power) - actual_e
difference_h = float(boiler.power) * boiler.efficiency - actual_h
price_e = MEDIAN_H_PRICE * boiler.efficiency
price_h = MEDIAN_H_PRICE
return [Bid(BidKind.DEMAND, price_e, power, "E", time, boiler.shortName) for time, power in difference_e.items()] + [Bid(BidKind.SUPPLY, price_h, power * boiler.efficiency, "H", time, boiler.shortName) for time, power in difference_h.items()]
@strategy(id=["AGENT_LWD_HP"])
def eboiler_lwd(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
pump = my_assets.get(esdl.HeatPump)
actual_e = retrieve_adjusted_plan(my_assets.agent, "E", market_info, pump.shortName)
actual_h = retrieve_adjusted_plan(my_assets.agent, "H", market_info, pump.shortName)
difference_e = float(pump.power) - actual_e
difference_h = float(pump.power) * pump.efficiency - actual_h
price_e = MEDIAN_H_PRICE * pump.efficiency
price_h = MEDIAN_H_PRICE
return [Bid(BidKind.DEMAND, price_e, power, "E", time, pump.shortName) for time, power in difference_e.items()] + [Bid(BidKind.SUPPLY, price_h, power * pump.efficiency, "H", time, pump.shortName) for time, power in difference_h.items()]
@strategy(id="AGENT_LWD_HDN")
def neighbourhood(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
e_demand = my_assets.get(esdl.ElectricityDemand)
profile = find_profile(e_demand)
e_target = energy_system.get_profile(profile.name, market_info) * int(profile.multiplier)
e_actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, e_demand.shortName)
e_difference = e_target - e_actual
e_price = 900 + randrange(PRICE_VARIATION)
e_bids = [Bid(BidKind.DEMAND, e_price, power, "E", time, e_demand.shortName) for time, power in e_difference.items()]
h_demand = my_assets.get(esdl.HeatingDemand)
h_target = energy_system.get_profile(profile.name, market_info) * int(profile.multiplier)
h_actual = retrieve_adjusted_plan(my_assets.agent, "H", market_info, h_demand.shortName)
h_difference = h_target - h_actual
h_price = 900 + randrange(PRICE_VARIATION)
h_bids = [Bid(BidKind.DEMAND, h_price, power, "H", time, h_demand.shortName) for time, power in h_difference.items()]
return e_bids + h_bids
@strategy(id="AGENT_LWD_HD")
def lwd_hd(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
g_demand = my_assets.get(esdl.GasDemand)
g_actual = retrieve_adjusted_plan(my_assets.agent, "G", market_info, g_demand.shortName)
g_difference = g_demand.power - g_actual
g_price = 900 + randrange(0, PRICE_VARIATION)
g_bids = [Bid(BidKind.DEMAND, g_price, power, "G", time, g_demand.shortName) for time, power in g_difference.items()]
h_demand = my_assets.get(esdl.HeatingDemand)
h_actual = retrieve_adjusted_plan(my_assets.agent, "H", market_info, h_demand.shortName)
h_difference = h_demand.power - h_actual
h_price = 900 + randrange(0, PRICE_VARIATION)
h_bids = [Bid(BidKind.DEMAND, h_price, power, "H", time, h_demand.shortName) for time, power in h_difference.items()]
return g_bids + h_bids
@strategy(id="AGENT_NOB")
def nobian(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# NOTE: no hydrogen supply bids, because the resulting hydrogen is consumed by Nobian itself
[electrolyzer1, electrolyzer2] = my_assets.get(esdl.Electrolyzer)
e1_proportion = electrolyzer1.power / (electrolyzer2.power + electrolyzer1.power)
e2_proportion = 1 - e1_proportion
e_target = electrolyzer1.power + electrolyzer2.power
e_actual1 = retrieve_adjusted_plan(my_assets.agent, "E", market_info, electrolyzer1.shortName)
e_actual2 = retrieve_adjusted_plan(my_assets.agent, "E", market_info, electrolyzer2.shortName)
e_difference = e_target - (e_actual1 + e_actual2)
e_price = 900 + randrange(PRICE_VARIATION)
e_bids = [Bid(BidKind.DEMAND, e_price, power * e1_proportion, "E", time, electrolyzer1.shortName) for time, power in e_difference.items()] + [Bid(BidKind.DEMAND, e_price, power * e2_proportion, "E", time, electrolyzer2.shortName) for time, power in e_difference.items()]
heat = my_assets.get(esdl.ResidualHeatSource)
h_target = heat.power
h_actual = retrieve_adjusted_plan(my_assets.agent, "H", market_info, heat.shortName)
h_difference = h_target - h_actual
h_price = 0
h_bids = [Bid(BidKind.SUPPLY, h_price, power, "H", time, heat.shortName) for time, power in h_difference.items()]
return e_bids + h_bids
@strategy(id="AGENT_ENE")
def eneco(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
pv = my_assets.get(esdl.PVPanel)
profile = find_profile(pv)
target = energy_system.get_profile(profile.name, market_info) * int(profile.multiplier)
actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, pv.shortName)
difference = target - actual
price = 0
pv_bids = [Bid(BidKind.SUPPLY, price, power, "E", time, pv.shortName) for time, power in difference.items()]
[wind1, wind2] = my_assets.get(esdl.WindTurbine)
profile = find_profile(wind1)
target = energy_system.get_profile(profile.name, market_info) * int(profile.multiplier)
actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, wind1.shortName)
difference = target - actual
price = 0
wind1_bids = [Bid(BidKind.SUPPLY, price, power, "E", time, wind1.shortName) for time, power in difference.items()]
profile = find_profile(wind2)
target = energy_system.get_profile(profile.name, market_info) * int(profile.multiplier)
actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, wind2.shortName)
difference = target - actual
price = 0
wind2_bids = [Bid(BidKind.SUPPLY, price, power, "E", time, wind2.shortName) for time, power in difference.items()]
powerplant = my_assets.get(esdl.PowerPlant)
target = powerplant.power
actual = retrieve_adjusted_plan(my_assets.agent, "E", market_info, powerplant.shortName)
difference = target - actual
price = BIOMASS_COST
pp_bids = [Bid(BidKind.DEMAND, price, power, "E", time, powerplant.shortName) for time, power in difference.items()]
boiler = my_assets.get(esdl.ElectricBoiler)
actual_e = retrieve_adjusted_plan(my_assets.agent, "E", market_info, boiler.shortName)
actual_h = retrieve_adjusted_plan(my_assets.agent, "H", market_info, boiler.shortName)
difference_e = float(boiler.power) - actual_e
difference_h = float(boiler.power) * boiler.efficiency - actual_h
price_e = MEDIAN_H_PRICE * boiler.efficiency
price_h = MEDIAN_H_PRICE
boiler_bids = [Bid(BidKind.DEMAND, price_e, power, "E", time, boiler.shortName) for time, power in difference_e.items()] + [Bid(BidKind.SUPPLY, price_h, power * boiler.efficiency, "H", time, boiler.shortName) for time, power in difference_h.items()]
return pv_bids + wind1_bids + wind2_bids + pp_bids + boiler_bids
@strategy(id=["AGENT_GSP_1"])
def gas_storage(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
storage = my_assets.get(esdl.HeatStorage)
prices = FORECAST["H_marketprice"]
target = storage.maxDischargeRate
if target is None:
target = storage.maxChargeRate
positive_price = prices > MEDIAN_H_PRICE
bid_kinds = positive_price.apply(lambda x: BidKind.SUPPLY if x else BidKind.DEMAND)
actual = retrieve_adjusted_plan(my_assets.agent, "H", market_info, storage.shortName)
difference = target - actual
return [Bid(bid_kind, MEDIAN_H_PRICE, power, "H", time, storage.shortName) for (time, power), bid_kind in zip(difference.items(), bid_kinds)]
@strategy(id=["AGENT_DSO_E_GSP", "AGENT_DSO_E_ECL"])
def dso(_: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# This is the DSO bids.
# Only for electricity, the other commodities are not constrained.
# As agreed, the DSO bids with max/min price to fix congestion.
return duplicate_over_time(Bid(BidKind.DEMAND, -999, 1000000000, 'E'), market_info) + duplicate_over_time(Bid(BidKind.SUPPLY, 999, 1000000000, 'E'), market_info)
# @strategy(id="AGENT_VOLT_EL")
# def volth2(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# electro = my_assets.get(esdl.Electrolyzer)
# if market_info.kind == MarketKind.DAY_AHEAD:
# supply_price = 60 / electro.efficiency
# supply_power = electro.power * electro.efficiency
# demand_price = 60
# demand_power = electro.power
# return duplicate_over_time(Bid(BidKind.SUPPLY, supply_price, supply_power, "G", None), market_info) + duplicate_over_time(Bid(BidKind.DEMAND, demand_price, demand_power, "E", None), market_info)
# elif market_info.kind == MarketKind.INTRADAY:
# supply_price = 80 / electro.efficiency
# supply_power = electro.power * electro.efficiency
# demand_price = 80
# demand_power = electro.power
# return duplicate_over_time(Bid(BidKind.SUPPLY, supply_price, supply_power, "G", None), market_info) + duplicate_over_time(Bid(BidKind.DEMAND, demand_price, demand_power, "E", None), market_info)
# @strategy(id=["AGENT_ENE", "AGENT_GSP_1", "AGENT_NOB", "AGENT_BIOLNG", "AGENT_BERMG", "AGENT_LWD_HD", "AGENT_LWD_HP", "AGENT_LWD_EB", "AGENT_LWD_GS", "AGENT_LWD_HDN", "AGENT_GASU_GS"])
# def gas_storage(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# get_request("readFile", { "Name": "forecast.csv", "IncludeMetadata": True })
# return None
# @strategy(id=[""])
# @strategy(id="AGENT_LWD_FC")
# def fuelcell(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# cell = my_assets.get(esdl.FuelCell)
# if market_info.kind == MarketKind.DAY_AHEAD:
# supply_price = 150 / cell.efficiency
# supply_power = cell.power * cell.efficiency
# demand_price = 150
# demand_power = cell.power
# return duplicate_over_time(Bid(BidKind.SUPPLY, supply_price, supply_power, "E", None), market_info) + duplicate_over_time(Bid(BidKind.DEMAND, demand_price, demand_power, "G", None), market_info)
# elif market_info.kind == MarketKind.INTRADAY:
# supply_price = 100 / cell.efficiency
# supply_power = cell.power * cell.efficiency
# demand_price = 100
# demand_power = cell.power
# return duplicate_over_time(Bid(BidKind.SUPPLY, supply_price, supply_power, "E", None), market_info) + duplicate_over_time(Bid(BidKind.DEMAND, demand_price, demand_power, "G", None), market_info)
# @strategy(id="BioLNG")
# def agent_tno(my_assets: AssetSet, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# battery = my_assets.get(esdl.ElectricityDemand)
# if market_info.kind == MarketKind.DAY_AHEAD:
# supply_price = 100
# supply_power = battery.power
# return duplicate_over_time(Bid(BidKind.SUPPLY, supply_price, supply_power, "E", None), market_info)
# elif market_info.kind == MarketKind.INTRADAY:
# power = min(battery.capacity * (1 - battery.fillLevel), battery.maxChargeRate) / 96
# return [Bid(BidKind.DEMAND, 50, power, "E", market_info.end_time)]
# @strategy(id="WINDPARK_ID_HERE")
# def strat_wind(me: WindPark, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# price = 5
# power = me.power
# return [Bid(BidKind.SUPPLY, price, power)]
# @strategy(id="ETCEL6680")
# def strat_electrolyzer(me: Electrolyzer, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# if market_info.commodity == CommodityEnum.ELECTRICITY:
# price = energy_system.get_forecast(CommodityEnum.H2, market_info.clearing_for_time) * me.efficiency
# power = me.power
# return [Bid(BidKind.DEMAND, price, power)]
# if market_info.commodity == CommodityEnum.H2:
# price = 0
# power = market_info.get_cleared_bid(me) * me.efficiency
# return [Bid(BidKind.SUPPLY, price, power)]
# @strategy(id="DEMAND_ID_HERE")
# def strat_electricity_demand(me: ElectricityDemand, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# price = 400
# power = me.power
# return [Bid(BidKind.DEMAND, price, power)]
# @strategy(id="DEMAND_ID_HERE")
# def strat_hydrogen_demand(me: GasDemand, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# price = 400
# power = me.power
# return [Bid(BidKind.DEMAND, price, power)]
# @strategy(id="POWERPLANT_ID_HERE")
# def strat_powerplant(me: PowerPlant, market_info: MarketInfo, energy_system: EnergySystemInfo) -> Optional[List[Bid]]:
# price = 400
# power = me.power
# return [Bid(BidKind.SUPPLY, price, power)]