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Adds inverter AC/DC efficiency and break-even penalty (#888)
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* feat: add inverter AC/DC efficiency and break-even penalty

* test: update tests/test_geneticoptimize.py with new ac_charge_break_even parameter

* docs: update documentation

* chore: update version numbers in configuration files to v0.2.0.dev2602272006923535
This commit is contained in:
Christopher Nadler
2026-02-27 23:12:08 +01:00
committed by GitHub
parent 04420e66ab
commit 3ccc25d731
30 changed files with 3043 additions and 152 deletions
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16
docs/_generated/configoptimization.md
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@@ -7,10 +7,10 @@
| 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]. |
| algorithm | `EOS_OPTIMIZATION__ALGORITHM` | `str | None` | `rw` | `GENETIC` | The optimization algorithm. |
| genetic | `EOS_OPTIMIZATION__GENETIC` | `akkudoktoreos.optimization.optimization.GeneticCommonSettings | None` | `rw` | `None` | Genetic optimization algorithm configuration. |
| horizon_hours | `EOS_OPTIMIZATION__HORIZON_HOURS` | `int | None` | `rw` | `24` | The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours. |
| interval | `EOS_OPTIMIZATION__INTERVAL` | `int | None` | `rw` | `3600` | The optimization interval [sec]. |
| keys | | `list[str]` | `ro` | `N/A` | The keys of the solution. |
:::
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@@ -73,10 +73,10 @@
| 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. |
| generations | `int | None` | `rw` | `400` | Number of generations to evaluate the optimal solution [>= 10]. Defaults to 400. |
| individuals | `int | None` | `rw` | `300` | Number of individuals (solutions) to generate for the (initial) generation [>= 10]. Defaults to 300. |
| penalties | `dict[str, float | int | str] | None` | `rw` | `None` | A dictionary of penalty function parameters consisting of a penalty function parameter name and the associated value. |
| seed | `int | None` | `rw` | `None` | Fixed seed for genetic algorithm. Defaults to 'None' which means random seed. |
:::
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