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EOS/docs/_generated/configoptimization.md
Bobby Noelte 237af5289f
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fix: eosdash startup (#915)
Adapt uvicorn log level to allowed levels.

Ensure that EOSdash is started after EOS configuration is available.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2026-02-28 11:31:51 +01:00

3.4 KiB

General Optimization Configuration

:::{table} optimization :widths: 10 20 10 5 5 30 :align: left

Name Environment Variable Type Read-Only Default Description
algorithm EOS_OPTIMIZATION__ALGORITHM Optional[str] rw GENETIC The optimization algorithm.
genetic EOS_OPTIMIZATION__GENETIC Optional[akkudoktoreos.optimization.optimization.GeneticCommonSettings] rw None Genetic optimization algorithm configuration.
horizon_hours EOS_OPTIMIZATION__HORIZON_HOURS Optional[int] rw 24 The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours.
interval EOS_OPTIMIZATION__INTERVAL Optional[int] rw 3600 The optimization interval [sec].
keys list[str] ro N/A The keys of the solution.
:::

Example Input

   {
       "optimization": {
           "horizon_hours": 24,
           "interval": 3600,
           "algorithm": "GENETIC",
           "genetic": {
               "individuals": 400,
               "generations": 400,
               "seed": null,
               "penalties": {
                   "ev_soc_miss": 10
               }
           }
       }
   }

Example Output

   {
       "optimization": {
           "horizon_hours": 24,
           "interval": 3600,
           "algorithm": "GENETIC",
           "genetic": {
               "individuals": 400,
               "generations": 400,
               "seed": null,
               "penalties": {
                   "ev_soc_miss": 10
               }
           },
           "keys": []
       }
   }

General Genetic Optimization Algorithm Configuration

:::{table} optimization::genetic :widths: 10 10 5 5 30 :align: left

Name Type Read-Only Default Description
generations Optional[int] rw 400 Number of generations to evaluate the optimal solution [>= 10]. Defaults to 400.
individuals Optional[int] rw 300 Number of individuals (solutions) to generate for the (initial) generation [>= 10]. Defaults to 300.
penalties Optional[dict[str, Union[float, int, str]]] rw None A dictionary of penalty function parameters consisting of a penalty function parameter name and the associated value.
seed Optional[int] rw None Fixed seed for genetic algorithm. Defaults to 'None' which means random seed.
:::

Example Input/Output

   {
       "optimization": {
           "genetic": {
               "individuals": 300,
               "generations": 400,
               "seed": null,
               "penalties": {
                   "ev_soc_miss": 10
               }
           }
       }
   }