General Optimization Configuration

optimization

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

optimization::genetic

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
               }
           }
       }
   }