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fix: automatic optimization start solution
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The automatic optimization did not use the start solution from the
last energy management run. Make it use it.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
This commit is contained in:
Bobby Noelte
2025-11-02 17:43:38 +01:00
parent fca29127cb
commit 9feae49950
1 changed files with 7 additions and 0 deletions
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7
src/akkudoktoreos/optimization/genetic/geneticparams.py
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@@ -212,6 +212,12 @@ class GeneticOptimizationParameters(
logger.error("ev_soc_miss penalty function parameter unknown - defaulting to 100.") logger.error("ev_soc_miss penalty function parameter unknown - defaulting to 100.")
cls.config.optimization.genetic.penalties["ev_soc_miss"] = 10 cls.config.optimization.genetic.penalties["ev_soc_miss"] = 10
# Get start solution from last run
start_solution = None
last_solution = ems.genetic_solution()
if last_solution and last_solution.start_solution:
start_solution = last_solution.start_solution
# Add forecast and device data # Add forecast and device data
interval = to_duration(cls.config.optimization.interval) interval = to_duration(cls.config.optimization.interval)
power_to_energy_per_interval_factor = cls.config.optimization.interval / 3600 power_to_energy_per_interval_factor = cls.config.optimization.interval / 3600
@@ -615,6 +621,7 @@ class GeneticOptimizationParameters(
eauto=electric_vehicle_params, eauto=electric_vehicle_params,
inverter=inverter_params, inverter=inverter_params,
dishwasher=home_appliance_params, dishwasher=home_appliance_params,
start_solution=start_solution,
) )
except: except:
logger.exception( logger.exception(