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>
21 KiB
Base configuration for devices simulation settings
:::{table} devices :widths: 10 20 10 5 5 30 :align: left
| Name | Environment Variable | Type | Read-Only | Default | Description |
|---|---|---|---|---|---|
| batteries | EOS_DEVICES__BATTERIES |
`list[akkudoktoreos.devices.devices.BatteriesCommonSettings] | None` | rw |
None |
| electric_vehicles | EOS_DEVICES__ELECTRIC_VEHICLES |
`list[akkudoktoreos.devices.devices.BatteriesCommonSettings] | None` | rw |
None |
| home_appliances | EOS_DEVICES__HOME_APPLIANCES |
`list[akkudoktoreos.devices.devices.HomeApplianceCommonSettings] | None` | rw |
None |
| inverters | EOS_DEVICES__INVERTERS |
`list[akkudoktoreos.devices.devices.InverterCommonSettings] | None` | rw |
None |
| max_batteries | EOS_DEVICES__MAX_BATTERIES |
`int | None` | rw |
None |
| max_electric_vehicles | EOS_DEVICES__MAX_ELECTRIC_VEHICLES |
`int | None` | rw |
None |
| max_home_appliances | EOS_DEVICES__MAX_HOME_APPLIANCES |
`int | None` | rw |
None |
| max_inverters | EOS_DEVICES__MAX_INVERTERS |
`int | None` | rw |
None |
| measurement_keys | `list[str] | None` | ro |
N/A |
|
| ::: |
Example Input
{
"devices": {
"batteries": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100
}
],
"max_batteries": 1,
"electric_vehicles": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100
}
],
"max_electric_vehicles": 1,
"inverters": [],
"max_inverters": 1,
"home_appliances": [],
"max_home_appliances": 1
}
}
Example Output
{
"devices": {
"batteries": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100,
"measurement_key_soc_factor": "battery1-soc-factor",
"measurement_key_power_l1_w": "battery1-power-l1-w",
"measurement_key_power_l2_w": "battery1-power-l2-w",
"measurement_key_power_l3_w": "battery1-power-l3-w",
"measurement_key_power_3_phase_sym_w": "battery1-power-3-phase-sym-w",
"measurement_keys": [
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w"
]
}
],
"max_batteries": 1,
"electric_vehicles": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100,
"measurement_key_soc_factor": "battery1-soc-factor",
"measurement_key_power_l1_w": "battery1-power-l1-w",
"measurement_key_power_l2_w": "battery1-power-l2-w",
"measurement_key_power_l3_w": "battery1-power-l3-w",
"measurement_key_power_3_phase_sym_w": "battery1-power-3-phase-sym-w",
"measurement_keys": [
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w"
]
}
],
"max_electric_vehicles": 1,
"inverters": [],
"max_inverters": 1,
"home_appliances": [],
"max_home_appliances": 1,
"measurement_keys": [
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w",
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w"
]
}
}
Inverter devices base settings
:::{table} devices::inverters::list :widths: 10 10 5 5 30 :align: left
| Name | Type | Read-Only | Default | Description |
|---|---|---|---|---|
| ac_to_dc_efficiency | float |
rw |
1.0 |
Efficiency of AC to DC conversion for grid-to-battery AC charging (0-1). Set to 0 to disable AC charging. Default 1.0 (no additional inverter loss). |
| battery_id | `str | None` | rw |
None |
| dc_to_ac_efficiency | float |
rw |
1.0 |
Efficiency of DC to AC conversion for battery discharging to AC load/grid (0-1). Default 1.0 (no additional inverter loss). |
| device_id | str |
rw |
required |
ID of device |
| max_ac_charge_power_w | `float | None` | rw |
None |
| max_power_w | `float | None` | rw |
None |
| measurement_keys | `list[str] | None` | ro |
N/A |
| ::: |
Example Input
{
"devices": {
"inverters": [
{
"device_id": "battery1",
"max_power_w": 10000.0,
"battery_id": null,
"ac_to_dc_efficiency": 0.95,
"dc_to_ac_efficiency": 0.95,
"max_ac_charge_power_w": null
}
]
}
}
Example Output
{
"devices": {
"inverters": [
{
"device_id": "battery1",
"max_power_w": 10000.0,
"battery_id": null,
"ac_to_dc_efficiency": 0.95,
"dc_to_ac_efficiency": 0.95,
"max_ac_charge_power_w": null,
"measurement_keys": []
}
]
}
}
Model defining a daily or date time window with optional localization support
Represents a time interval starting at start_time and lasting for duration.
Can restrict applicability to a specific day of the week or a specific calendar date.
Supports day names in multiple languages via locale-aware parsing.
Timezone contract:
start_time is always naive (no tzinfo). It is interpreted as a
local wall-clock time in whatever timezone the caller's date_time or
reference_date carries. When those arguments are timezone-aware the
window boundaries are evaluated in that timezone; when they are naive,
arithmetic is performed as-is (no timezone conversion occurs).
date, being a calendar Date object, is inherently timezone-free.
This design avoids the ambiguity that arises when a stored start_time
carries its own timezone that differs from the caller's timezone, and keeps
the model serialisable without timezone state.
:::{table} devices::home_appliances::list::time_windows::windows::list :widths: 10 10 5 5 30 :align: left
| Name | Type | Read-Only | Default | Description |
|---|---|---|---|---|
| date | `pydantic_extra_types.pendulum_dt.Date | None` | rw |
None |
| day_of_week | `int | str | None` | rw |
| duration | Duration |
rw |
required |
Duration of the time window starting from start_time. |
| locale | `str | None` | rw |
None |
| start_time | Time |
rw |
required |
Naive start time of the time window (time of day, no timezone). Interpreted in the timezone of the datetime passed to contains() or earliest_start_time(). |
| ::: |
Example Input/Output
{
"devices": {
"home_appliances": [
{
"time_windows": {
"windows": [
{
"start_time": "00:00:00.000000",
"duration": "2 hours",
"day_of_week": null,
"date": null,
"locale": null
}
]
}
}
]
}
}
Model representing a sequence of time windows with collective operations
Manages multiple TimeWindow objects and provides methods to work with them as a cohesive unit for scheduling and availability checking.
:::{table} devices::home_appliances::list::time_windows :widths: 10 10 5 5 30 :align: left
| Name | Type | Read-Only | Default | Description |
|---|---|---|---|---|
| windows | list[akkudoktoreos.config.configabc.TimeWindow] |
rw |
required |
List of TimeWindow objects that make up this sequence. |
| ::: |
Example Input/Output
{
"devices": {
"home_appliances": [
{
"time_windows": {
"windows": []
}
}
]
}
}
Home Appliance devices base settings
:::{table} devices::home_appliances::list :widths: 10 10 5 5 30 :align: left
| Name | Type | Read-Only | Default | Description |
|---|---|---|---|---|
| consumption_wh | int |
rw |
required |
Energy consumption [Wh]. |
| device_id | str |
rw |
required |
ID of device |
| duration_h | int |
rw |
required |
Usage duration in hours [0 ... 24]. |
| measurement_keys | `list[str] | None` | ro |
N/A |
| time_windows | `akkudoktoreos.config.configabc.TimeWindowSequence | None` | rw |
None |
| ::: |
Example Input
{
"devices": {
"home_appliances": [
{
"device_id": "battery1",
"consumption_wh": 2000,
"duration_h": 1,
"time_windows": {
"windows": [
{
"start_time": "10:00:00.000000",
"duration": "2 hours",
"day_of_week": null,
"date": null,
"locale": null
}
]
}
}
]
}
}
Example Output
{
"devices": {
"home_appliances": [
{
"device_id": "battery1",
"consumption_wh": 2000,
"duration_h": 1,
"time_windows": {
"windows": [
{
"start_time": "10:00:00.000000",
"duration": "2 hours",
"day_of_week": null,
"date": null,
"locale": null
}
]
},
"measurement_keys": []
}
]
}
}
Battery devices base settings
:::{table} devices::batteries::list :widths: 10 10 5 5 30 :align: left
| Name | Type | Read-Only | Default | Description |
|---|---|---|---|---|
| capacity_wh | int |
rw |
8000 |
Capacity [Wh]. |
| charge_rates | `list[float] | None` | rw |
[0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0] |
| charging_efficiency | float |
rw |
0.88 |
Charging efficiency [0.01 ... 1.00]. |
| device_id | str |
rw |
required |
ID of device |
| discharging_efficiency | float |
rw |
0.88 |
Discharge efficiency [0.01 ... 1.00]. |
| levelized_cost_of_storage_kwh | float |
rw |
0.0 |
Levelized cost of storage (LCOS), the average lifetime cost of delivering one kWh [amount/kWh]. |
| max_charge_power_w | `float | None` | rw |
5000 |
| max_soc_percentage | int |
rw |
100 |
Maximum state of charge (SOC) as percentage of capacity [%]. |
| measurement_key_power_3_phase_sym_w | str |
ro |
N/A |
Measurement key for the symmetric 3 phase power the battery is charged or discharged with [W]. |
| measurement_key_power_l1_w | str |
ro |
N/A |
Measurement key for the L1 power the battery is charged or discharged with [W]. |
| measurement_key_power_l2_w | str |
ro |
N/A |
Measurement key for the L2 power the battery is charged or discharged with [W]. |
| measurement_key_power_l3_w | str |
ro |
N/A |
Measurement key for the L3 power the battery is charged or discharged with [W]. |
| measurement_key_soc_factor | str |
ro |
N/A |
Measurement key for the battery state of charge (SoC) as factor of total capacity [0.0 ... 1.0]. |
| measurement_keys | `list[str] | None` | ro |
N/A |
| min_charge_power_w | `float | None` | rw |
50 |
| min_soc_percentage | int |
rw |
0 |
Minimum state of charge (SOC) as percentage of capacity [%]. This is the target SoC for charging |
| ::: |
Example Input
{
"devices": {
"batteries": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.12,
"max_charge_power_w": 5000.0,
"min_charge_power_w": 50.0,
"charge_rates": [
0.0,
0.25,
0.5,
0.75,
1.0
],
"min_soc_percentage": 10,
"max_soc_percentage": 100
}
]
}
}
Example Output
{
"devices": {
"batteries": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.12,
"max_charge_power_w": 5000.0,
"min_charge_power_w": 50.0,
"charge_rates": [
0.0,
0.25,
0.5,
0.75,
1.0
],
"min_soc_percentage": 10,
"max_soc_percentage": 100,
"measurement_key_soc_factor": "battery1-soc-factor",
"measurement_key_power_l1_w": "battery1-power-l1-w",
"measurement_key_power_l2_w": "battery1-power-l2-w",
"measurement_key_power_l3_w": "battery1-power-l3-w",
"measurement_key_power_3_phase_sym_w": "battery1-power-3-phase-sym-w",
"measurement_keys": [
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w"
]
}
]
}
}