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Bobby NoelteandGitHub
894790f577
Add a PV forecast provider that calculates the forecast using a PVLib system model and weather forecast from the EOS weather forecast provider. Additional module and inverter models can be easily added as the database is build from PVLib and SAM databases and a bundled csv file. The module model and inververt model names are provided by new endpoints to be used in configuration. The provider is based on the fantastic work of EMHASS. See https://github.com/davidusb-geek/emhass/blob/master/src/emhass/forecast.py A short description of the provider is added to the documentation. Besides the new features there are the fixes and improvements: * feat: improve EOSdash config page * fix: kex_to_series for start_datetime Make key_to_series always start the series at start_datetime. * fix: default provider for GENETIC and GENETIC0 optimization To make the default less dependent on internet servers (with API changes and availability issues) the default for PVForecast is set to PVForecastPVLib and for ElecPrice to ElecPriceFixed. The default weather provider is changed to OpenMeteo. * fix: EOSdash display resampled prediction values Make EOSdash display resampled prediction values where resampling fits to the prediction value type. Use bar width that fits to 15 minutes value samples. * chore: add a UI hints system to EOSdash The UI hints system eases the definition of forms for configuration items. There are also forms for items in maps and lists. These forms allow to add and delete items to/ from maps and lists. The forms ensure that all required fields of newly added items are filled. * chore: Create an enum for valid optimization algorithms * chore. Make config also provide the available energy management modes. Used for configuration hints. * chore: Randomize default device id in configuration Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
6.9 KiB
6.9 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 |
<enum 'OptimizationAlgorithm'> |
rw |
required |
Optimization algorithm [GENETIC |
| algorithms | list[str] |
ro |
N/A |
Available optimization algorithms. | |
| genetic | EOS_OPTIMIZATION__GENETIC |
GeneticCommonSettings |
rw |
required |
GENETIC optimization algorithm configuration. |
| genetic0 | EOS_OPTIMIZATION__GENETIC0 |
Genetic0CommonSettings |
rw |
required |
GENETIC0 optimization algorithm configuration. |
| keys | list[str] |
ro |
N/A |
The keys of the solution. | |
| ::: |
Example Input
{
"optimization": {
"algorithm": "GENETIC",
"genetic": {
"interval_sec": 3600,
"horizon_hours": 24,
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
},
"genetic0": {
"horizon_hours": 24,
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
}
}
}
Example Output
{
"optimization": {
"algorithm": "GENETIC",
"genetic": {
"interval_sec": 3600,
"horizon_hours": 24,
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
},
"horizon": 24
},
"genetic0": {
"horizon_hours": 24,
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
},
"interval_sec": 3600,
"horizon": 24
},
"algorithms": [
"GENETIC",
"GENETIC0"
],
"keys": []
}
}
GENETIC0 Optimization Algorithm Configuration
:::{table} optimization::genetic0 :widths: 10 10 5 5 30 :align: left
| Name | Type | Read-Only | Default | Description |
|---|---|---|---|---|
| generations | `int | None` | rw |
400 |
| horizon | int |
ro |
N/A |
Number of optimization steps. |
| horizon_hours | int |
rw |
24 |
The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours. |
| individuals | `int | None` | rw |
300 |
| interval_sec | int |
ro |
N/A |
The optimization interval [sec]. Fixed to 1 hour (3600 seconds). |
| penalties | `dict[str, float | int | str]` | rw |
| seed | `int | None` | rw |
None |
| ::: |
Example Input
{
"optimization": {
"genetic0": {
"horizon_hours": 24,
"individuals": 300,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
}
}
}
Example Output
{
"optimization": {
"genetic0": {
"horizon_hours": 24,
"individuals": 300,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
},
"interval_sec": 3600,
"horizon": 24
}
}
}
GENETIC Optimization Algorithm Configuration
:::{table} optimization::genetic :widths: 10 10 5 5 30 :align: left
| Name | Type | Read-Only | Default | Description |
|---|---|---|---|---|
| generations | `int | None` | rw |
400 |
| horizon | int |
ro |
N/A |
Number of optimization steps. |
| horizon_hours | int |
rw |
24 |
The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours. |
| individuals | `int | None` | rw |
300 |
| interval_sec | int |
rw |
3600 |
The optimization interval [sec]. Defaults to 3600 seconds (1 hour) |
| penalties | `dict[str, float | int | str]` | rw |
| seed | `int | None` | rw |
None |
| ::: |
Example Input
{
"optimization": {
"genetic": {
"interval_sec": 3600,
"horizon_hours": 24,
"individuals": 300,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
}
}
}
Example Output
{
"optimization": {
"genetic": {
"interval_sec": 3600,
"horizon_hours": 24,
"individuals": 300,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
},
"horizon": 24
}
}
}