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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
103 lines
3.4 KiB
Markdown
103 lines
3.4 KiB
Markdown
## General Optimization Configuration
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:::{table} optimization
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:widths: 10 20 10 5 5 30
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:align: left
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| algorithm | `EOS_OPTIMIZATION__ALGORITHM` | `str | None` | `rw` | `GENETIC` | The optimization algorithm. |
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| genetic | `EOS_OPTIMIZATION__GENETIC` | `akkudoktoreos.optimization.optimization.GeneticCommonSettings | None` | `rw` | `None` | Genetic optimization algorithm configuration. |
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| 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. |
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| interval | `EOS_OPTIMIZATION__INTERVAL` | `int | None` | `rw` | `3600` | The optimization interval [sec]. |
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| keys | | `list[str]` | `ro` | `N/A` | The keys of the solution. |
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:::
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**Example Input**
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```json
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{
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"optimization": {
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"horizon_hours": 24,
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"interval": 3600,
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"algorithm": "GENETIC",
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"genetic": {
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"individuals": 400,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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}
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}
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}
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}
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```
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**Example Output**
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```json
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{
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"optimization": {
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"horizon_hours": 24,
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"interval": 3600,
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"algorithm": "GENETIC",
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"genetic": {
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"individuals": 400,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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}
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},
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"keys": []
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}
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}
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```
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### General Genetic Optimization Algorithm Configuration
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:::{table} optimization::genetic
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:widths: 10 10 5 5 30
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:align: left
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| Name | Type | Read-Only | Default | Description |
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| ---- | ---- | --------- | ------- | ----------- |
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| generations | `int | None` | `rw` | `400` | Number of generations to evaluate the optimal solution [>= 10]. Defaults to 400. |
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| individuals | `int | None` | `rw` | `300` | Number of individuals (solutions) to generate for the (initial) generation [>= 10]. Defaults to 300. |
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| 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. |
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| seed | `int | None` | `rw` | `None` | Fixed seed for genetic algorithm. Defaults to 'None' which means random seed. |
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:::
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**Example Input/Output**
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```json
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{
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"optimization": {
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"genetic": {
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"individuals": 300,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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}
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}
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}
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}
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```
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