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Battery SoC = 0 > set Discharge randomply to 0/1. For longer periods of storage (#366)
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* Battery SoC = 0 > hard Discharge Setting Off
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Andreas 2025-01-13 21:47:58 +01:00 committed by GitHub
parent 9ad61f66b2
commit 10703bbc1b
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3 changed files with 476 additions and 464 deletions
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52
src/akkudoktoreos/optimization/genetic.py
View File

@ -442,29 +442,41 @@ class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixi
individual[:] = adjusted_individual individual[:] = adjusted_individual
# New check: Activate discharge when battery SoC is 0 # New check: Activate discharge when battery SoC is 0
battery_soc_per_hour = np.array( # battery_soc_per_hour = np.array(
o.get("akku_soc_pro_stunde", []) # o.get("akku_soc_pro_stunde", [])
) # Example key for battery SoC # ) # Example key for battery SoC
if battery_soc_per_hour is not None: # if battery_soc_per_hour is not None:
if battery_soc_per_hour is None or discharge_hours_bin is None: # if battery_soc_per_hour is None or discharge_hours_bin is None:
raise ValueError("battery_soc_per_hour or discharge_hours_bin is None") # raise ValueError("battery_soc_per_hour or discharge_hours_bin is None")
min_length = min(battery_soc_per_hour.size, discharge_hours_bin.size) # min_length = min(battery_soc_per_hour.size, discharge_hours_bin.size)
battery_soc_per_hour_tail = battery_soc_per_hour[-min_length:] # battery_soc_per_hour_tail = battery_soc_per_hour[-min_length:]
discharge_hours_bin_tail = discharge_hours_bin[-min_length:] # discharge_hours_bin_tail = discharge_hours_bin[-min_length:]
len_ac = len(self.config.optimization_ev_available_charge_rates_percent) # len_ac = len(self.config.optimization_ev_available_charge_rates_percent)
# Find hours where battery SoC is 0 # # # Find hours where battery SoC is 0
zero_soc_mask = battery_soc_per_hour_tail == 0 # # zero_soc_mask = battery_soc_per_hour_tail == 0
discharge_hours_bin_tail[zero_soc_mask] = ( # # discharge_hours_bin_tail[zero_soc_mask] = (
len_ac + 2 # # len_ac + 2
) # Activate discharge for these hours # # ) # Activate discharge for these hours
# Merge the updated discharge_hours_bin back into the individual # # When Battery SoC then set the Discharge randomly to 0 or 1. otherwise it's very unlikely to get a state where a battery can store energy for a longer time
adjusted_individual = self.merge_individual( # # Find hours where battery SoC is 0
discharge_hours_bin, eautocharge_hours_index, washingstart_int # zero_soc_mask = battery_soc_per_hour_tail == 0
) # # discharge_hours_bin_tail[zero_soc_mask] = (
individual[:] = adjusted_individual # # len_ac + 2
# # ) # Activate discharge for these hours
# set_to_len_ac_plus_2 = np.random.rand() < 0.5 # True mit 50% Wahrscheinlichkeit
# # Werte setzen basierend auf der zufälligen Entscheidung
# value_to_set = len_ac + 2 if set_to_len_ac_plus_2 else 0
# discharge_hours_bin_tail[zero_soc_mask] = value_to_set
# # Merge the updated discharge_hours_bin back into the individual
# adjusted_individual = self.merge_individual(
# discharge_hours_bin, eautocharge_hours_index, washingstart_int
# )
# individual[:] = adjusted_individual
# More metrics # More metrics
individual.extra_data = ( # type: ignore[attr-defined] individual.extra_data = ( # type: ignore[attr-defined]

428
tests/testdata/optimize_result_2.json vendored
View File

@ -1,25 +1,19 @@
{ {
"ac_charge": [ "ac_charge": [
0.5,
0.0, 0.0,
0.0, 0.0,
0.0, 0.0,
0.0, 0.0,
0.75,
0.0, 0.0,
0.5, 0.5,
0.375,
0.0,
0.0, 0.0,
1.0, 1.0,
0.0, 0.0,
0.0, 0.0,
0.0, 0.75,
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0.0,
0.0,
0.0,
0.0,
0.0,
0.375,
0.0, 0.0,
0.0, 0.0,
0.0, 0.0,
@ -36,11 +30,17 @@
0.0, 0.0,
0.0, 0.0,
0.0, 0.0,
0.75,
0.0, 0.0,
0.0, 0.0,
0.0, 0.0,
0.0, 0.0,
0.5, 0.0,
0.0,
0.0,
0.0,
0.0,
0.625,
0.0, 0.0,
0.0, 0.0,
0.0, 0.0,
@ -102,7 +102,6 @@
"discharge_allowed": [ "discharge_allowed": [
0, 0,
1, 1,
0,
1, 1,
0, 0,
0, 0,
@ -110,14 +109,12 @@
0, 0,
0, 0,
0, 0,
1,
1,
0,
0,
0,
0, 0,
1, 1,
0, 0,
0,
0,
0,
1, 1,
0, 0,
1, 1,
@ -127,16 +124,19 @@
1, 1,
1, 1,
1, 1,
1, 0,
1,
1,
1,
1,
1,
1, 1,
1, 1,
0, 0,
1, 0,
0,
0,
0,
0,
0,
0,
0,
0,
1, 1,
1, 1,
0, 0,
@ -146,31 +146,31 @@
0, 0,
0, 0,
0, 0,
1, 0,
1 0
], ],
"eautocharge_hours_float": [ "eautocharge_hours_float": [
0.5, 0.875,
1.0,
0.625,
0.5,
0.625,
0.375,
0.75, 0.75,
0.875,
0.5,
0.375, 0.375,
0.75, 0.75,
0.875, 0.875,
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0.375, 0.375,
1.0,
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0.625, 0.625,
1.0, 0.875,
0.0, 0.0,
0.5,
0.625,
0.75,
0.0, 0.0,
0.0, 0.0,
0.0, 0.0,
@ -202,17 +202,17 @@
"result": { "result": {
"Last_Wh_pro_Stunde": [ "Last_Wh_pro_Stunde": [
4986.07, 4986.07,
11551.91, 1063.91,
1320.56, 14247.56,
10309.03, 12626.029999999999,
6407.67, 11529.67,
11664.82, 7731.82,
5149.22, 10393.22,
8969.78, 1103.78,
7000.12, 6373.12,
3053.71, 7733.71,
3550.98, 4299.98,
3488.56, 988.56,
912.38, 912.38,
704.61, 704.61,
516.37, 516.37,
@ -221,7 +221,7 @@
608.79, 608.79,
556.31, 556.31,
488.89, 488.89,
506.91, 4256.91,
804.89, 804.89,
1141.98, 1141.98,
1056.97, 1056.97,
@ -231,7 +231,7 @@
1257.98, 1257.98,
1232.67, 1232.67,
871.26, 871.26,
3360.88, 3985.88,
1158.03, 1158.03,
1222.72, 1222.72,
1221.04, 1221.04,
@ -243,15 +243,15 @@
"EAuto_SoC_pro_Stunde": [ "EAuto_SoC_pro_Stunde": [
5.0, 5.0,
11.555, 11.555,
29.035, 11.555,
29.035, 26.85,
44.330000000000005, 35.589999999999996,
53.06999999999999, 48.699999999999996,
70.55, 59.62499999999999,
77.105, 74.92,
90.215, 74.92,
100.0, 83.66,
100.0, 94.585,
100.0, 100.0,
100.0, 100.0,
100.0, 100.0,
@ -320,18 +320,11 @@
0.0, 0.0,
0.0 0.0
], ],
"Gesamt_Verluste": 8120.988554782056, "Gesamt_Verluste": 9872.776074746695,
"Gesamtbilanz_Euro": 10.524080664893, "Gesamtbilanz_Euro": 12.332782378812306,
"Gesamteinnahmen_Euro": 0.0, "Gesamteinnahmen_Euro": 0.0,
"Gesamtkosten_Euro": 10.524080664893, "Gesamtkosten_Euro": 12.332782378812306,
"Home_appliance_wh_per_hour": [ "Home_appliance_wh_per_hour": [
0.0,
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@ -362,87 +355,94 @@
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], ],
"Kosten_Euro_pro_Stunde": [ "Kosten_Euro_pro_Stunde": [
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1.218515592, 0.004569992000000018,
0.04475252599999999, 2.750373626,
1.7187851859999999, 2.1541494859999997,
0.07147063000000006, 1.0128942300000001,
1.2316083, 0.0,
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0.26650619799999997,
0.19588158,
0.174739608, 0.174739608,
0.28801899, 0.0,
0.22802125600000003, 0.0,
0.199865757, 0.199865757,
0.182970359, 0.182970359,
0.162995926, 0.162995926,
0.16677339, 1.4005233899999998,
0.26411047, 0.26411047,
0.24530383800000005, 0.24530383800000005,
0.08545095, 0.08545095,
0.007989913613567745, 0.007989913613567745,
0.028255713342252034, 0.028255713342252034,
0.0, 0.025392879919306634,
0.0, 0.0,
0.0, 0.0,
0.0003442778967139274, 0.0003442778967139274,
0.5571430797975209, 0.6945180797975209,
0.0, 0.0,
0.04565364324294593, 0.04565364324294593,
0.08231598, 0.08231598,
0.174597189, 0.174597189,
0.293043269, 0.293043269,
0.0, 0.214398479,
0.0 0.16484566
], ],
"Netzbezug_Wh_pro_Stunde": [ "Netzbezug_Wh_pro_Stunde": [
0.0, 0.0,
5508.66, 20.660000000000082,
213.81999999999994, 13140.82,
9147.34, 11464.339999999998,
388.85000000000036, 5510.85,
6145.75, 0.0,
6423.339999999999,
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1726.54,
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5951.820000000001,
57.05000000000018,
2046.54,
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1909.5199999999986,
912.38,
704.61,
516.37, 516.37,
868.05, 0.0,
694.34, 0.0,
608.79, 608.79,
556.31, 556.31,
488.89, 488.89,
506.91, 4256.91,
799.85, 799.85,
806.3900000000001, 806.3900000000001,
351.65, 351.65,
35.04348076126204, 35.04348076126204,
127.73830624887898, 127.73830624887898,
0.0, 121.32288542430308,
0.0, 0.0,
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1.7179535764168035, 1.7179535764168035,
2534.7728835192033, 3159.7728835192033,
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257.64, 257.64,
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987.01, 987.01,
0.0, 733.99,
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], ],
"Netzeinspeisung_Wh_pro_Stunde": [ "Netzeinspeisung_Wh_pro_Stunde": [
0.0, 0.0,
@ -486,83 +486,83 @@
], ],
"Verluste_Pro_Stunde": [ "Verluste_Pro_Stunde": [
760.062272727273, 760.062272727273,
1233.818181818182,
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41.02018767217631, 87.54222623966943,
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], ],
"Electricity_price": [ "Electricity_price": [
0.000228, 0.000228,
@ -715,74 +715,75 @@
"initial_soc_percentage": 5 "initial_soc_percentage": 5
}, },
"start_solution": [ "start_solution": [
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@ -810,8 +811,7 @@
0.0, 0.0,
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20.0
], ],
"washingstart": 20 "washingstart": 13
} }

460
tests/testdata/optimize_result_2_full.json vendored
View File

@ -3,14 +3,13 @@
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@ -150,23 +150,23 @@
1 1
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"eautocharge_hours_float": [ "eautocharge_hours_float": [
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@ -202,15 +202,15 @@
"result": { "result": {
"Last_Wh_pro_Stunde": [ "Last_Wh_pro_Stunde": [
4986.07, 4986.07,
6307.91, 1063.91,
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