huawei.yaml

# ------------------------------------------------------------------
# Huawei Solar Config example - https://github.com/wlcrs/huawei_solar
# ------------------------------------------------------------------
---
pred_bat:
  module: predbat
  class: PredBat

  # Sets the prefix for all created entities in HA - only change if you want to run more than once instance
  prefix: predbat

  # Timezone to work in
  timezone: Europe/London

  # XXX: Template configuration, delete this line once you have set up for your system
  template: True

  # If you are using Predbat outside of HA then set the HA URL and Key (long lived access token here)
  #ha_url: 'http://homeassistant.local:8123'
  #ha_key: 'xxx'

  # Currency, symbol for main currency second symbol for 1/100s e.g. $ c or £ p or e c
  currency_symbols:
   - '£'
   - 'p'

  # Number of threads to use in plan calculation
  # Can be auto for automatic, 0 for off or values 1-N for a fixed number
  threads: auto

  # Sensors, more than one can be specified and they will be summed up automatically
  #
  # For two inverters the load today would normally be the master load sensor only (to cover the entire house)
  # If you have three phase and one inverter per phase then you would need three load sensors
  #
  # For pv_today if you have multiple solar inverter inputs then you should include one entry for each inverter
  #
  load_today:
    - sensor.husforbrukning_i_kwh
  import_today:
    - sensor.kopt_el_idag
  export_today:
    - sensor.export_today
  pv_today:
    - sensor.energy_pv_daily

  # Load forecast can be used to add to the historical load data (heat-pump)
  # To link to Predheat
  # Data must be in the format of 'last_updated' timestamp and 'energy' for incrementing kWh
  #load_forecast:
  #  - predheat.heat_energy$external
  #
  num_inverters: 1
  inverter_type: "HU"
  #
  # Run balance inverters every N seconds (0=disabled) - only for multi-inverter
  balance_inverters_seconds: 0
  #
  # If not using REST then instead set the Control here (one for each inverter)
  # - you can delete this section if using REST
  charge_rate:
    - number.battery_maximum_charging_power
  discharge_rate:
    - number.battery_maximum_discharging_power
  battery_power:
    - sensor.battery_charge_discharge_power
  pv_power:
    - sensor.inverter_input_power
  load_power:
    - sensor.power_meter_active_power
  soc_percent:
    - sensor.battery_state_of_capacity
  #soc_kw:
  #  - sensor.batteri_to_kw
  soc_max:
    - 10
  charge_limit:
    - number.battery_end_of_charge_soc
  reserve:
    - 12
  scheduled_charge_enable:
    - off
  scheduled_discharge_enable:
    - off
  charge_start_time:
    - "00:00:00"
  charge_end_time:
    - "06:00:00"
  discharge_start_time:
    - "07:00:00"
  discharge_end_time:
    - "23:00:00"
  battery_min_soc:
    - 14

  # Services to charge/discharge
  charge_start_service: huawei_solar/forcible_charge_soc
  charge_stop_service: huawei_solar/stop_forcible_charge
  discharge_start_service: huawei_solar/forcible_discharge_soc
  discharge_stop_service: huawei_solar/stop_forcible_charge

  # Device_ID for the Huawei inverter device in home-assistant
  device_id: XXXXXX

  # Inverter max AC limit (one per inverter). E.g for a 3.6kw inverter set to 3600
  # If you have a second inverter for PV only please add the two values together
  inverter_limit:
   - 12000

  # Set the maximum charge/discharge rate of the battery
  battery_rate_max:
   - 5500

  # Export limit is a software limit set on your inverter that prevents exporting above a given level
  # When enabled Predbat will model this limit
  #export_limit:
  # - 3600
  # - 3600

  # Some inverters don't turn off when the rate is set to 0, still charge or discharge at around 200w
  # The value can be set here in watts to model this (doesn't change operation)
  #inverter_battery_rate_min:
  #  - 200

  # Workaround to limit the maximum reserve setting, some inverters won't allow 100% to be set
  # inverter_reserve_max : 99

  # Some batteries tail off their charge rate at high soc%
  # enter the charging curve here as a % of the max charge rate for each soc percentage.
  # the default is 1.0 (full power)
  # The example below is from GE 9.5kwh battery with latest firmware and gen1 inverter
  #battery_charge_power_curve:
  #  91 : 0.91
  #  92 : 0.81
  #  93 : 0.71
  #  94 : 0.62
  #  95 : 0.52
  #  96 : 0.43
  #  97 : 0.33
  #  98 : 0.24
  #  99 : 0.24
  #  100 : 0.24

  # Inverter clock skew in minutes, e.g. 1 means it's 1 minute fast and -1 is 1 minute slow
  # Separate start and end options are applied to the start and end time windows, mostly as you want to start late (not early) and finish early (not late)
  # Separate discharge skew for discharge windows only
#   inverter_clock_skew_start: 0
#   inverter_clock_skew_end: 0
#   inverter_clock_skew_discharge_start: 0
#   inverter_clock_skew_discharge_end: 0

  # Clock skew adjusts the Appdaemon time
  # This is the time that Predbat takes actions like starting discharge/charging
  # Only use this for workarounds if your inverter time is correct but Predbat is somehow wrong (AppDaemon issue)
  # 1 means add 1 minute to AppDaemon time, -1 takes it away
  clock_skew: 0

  # Solcast cloud interface, set this or the local interface below
  #solcast_host: 'https://api.solcast.com.au/'
  #solcast_api_key: 'xxxx'
  #solcast_poll_hours: 8

  # Set these to match solcast sensor names if not using the cloud interface
  # The regular expression (re:) makes the solcast bit optional
  # If these don't match find your own names in Home Assistant
  pv_forecast_today: re:(sensor.(solcast_|)(pv_forecast_|)forecast_today)
  pv_forecast_tomorrow: re:(sensor.(solcast_|)(pv_forecast_|)forecast_tomorrow)
  pv_forecast_d3: re:(sensor.(solcast_|)(pv_forecast_|)forecast_(day_3|d3))
  pv_forecast_d4: re:(sensor.(solcast_|)(pv_forecast_|)forecast_(day_4|d4))

  # car_charging_energy defines an incrementing sensor which measures the charge added to your car
  # is used for car_charging_hold feature to filter out car charging from the previous load data
  # Automatically set to detect Wallbox and Zappi, if it doesn't match manually enter your sensor name
  # Also adjust car_charging_energy_scale if it's not in kwH to fix the units
  #car_charging_energy: 're:(sensor.myenergi_zappi_[0-9a-z]+_charge_added_session|sensor.wallbox_portal_added_energy)'

  # Defines the number of cars modelled by the system, set to 0 for no car
  num_cars: 0

  # car_charging_planned is set to a sensor which when positive indicates the car will charged in the upcoming low rate slots
  # This should not be needed if you use Intelligent Octopus slots which will take priority if enabled
  # The list of possible values is in car_charging_planned_response
  # Auto matches Zappi and Wallbox, or change it for your own
  # One entry per car
  #car_charging_planned:
  # - 're:(sensor.wallbox_portal_status_description|sensor.myenergi_zappi_[0-9a-z]+_plug_status)'

#   car_charging_planned_response:
#     - 'yes'
#     - 'on'
#     - 'true'
#     - 'connected'
#     - 'ev connected'
#     - 'charging'
#     - 'paused'
#     - 'waiting for car demand'
#     - 'waiting for ev'
#     - 'scheduled'
#     - 'enabled'
#     - 'latched'
#     - 'locked'
#     - 'plugged in'

  # In some cases car planning is difficult (e.g. Ohme with Intelligent doesn't report slots)
  # The car charging now can be set to a sensor to indicate the car is charging and to plan
  # for it to charge during this 30 minute slot
  #car_charging_now:
  #  - off

  # Positive responses for car_charging_now
  #car_charging_now_response:
  #  - 'yes'
  #  - 'on'
  #  - 'true'

  # To make planned car charging more accurate, either using car_charging_planned or the Octopus Energy plugin,
  # specify your battery size in kwh, charge limit % and current car battery soc % sensors/values.
  # If you have Intelligent Octopus the battery size and limit will be extracted from the Octopus Energy plugin directly.
  # Set the car SOC% if you have it to give an accurate forecast of the cars battery levels.
  # One entry per car if you have multiple cars.
  #car_charging_battery_size:
  #  - 75
  #car_charging_limit:
  #  - 're:number.tsunami_charge_limit'
  #car_charging_soc:
  #  - 're:sensor.tsunami_battery'

  # If you have Octopus intelligent, enable the intelligent slot information to add to pricing
  # Will automatically disable if not found, or comment out to disable fully
  # When enabled it overrides the 'car_charging_planned' feature and predict the car charging based on the intelligent plan (unless octopus intelligent charging is False)
  # This matches either the intelligent slot from the Octopus Plugin or from the Intelligent plugin
  #octopus_intelligent_slot: 're:(binary_sensor.octopus_intelligent_slot|re:binary_sensor.octopus_energy_intelligent_dispatching)'
  #octopus_intelligent_slot: 're:binary_sensor.octopus_energy_intelligent_dispatching'
  #octopus_ready_time: 're:time.octopus_energy_intelligent_ready_time'
  #octopus_charge_limit: 're:number.octopus_energy_intelligent_charge_limit'

  # Energy rates
  # Please set one of these three, if multiple are set then Octopus is used first, second rates_import/rates_export and latest basic metric

  # Set import and export entity to point to the Octopus Energy plugin
  # automatically matches your meter number assuming you have only one
  # Will be ignored if you don't have the sensor
  # Or manually set it to the correct sensor names e.g:
  # sensor.octopus_energy_electricity_xxxxxxxxxx_xxxxxxxxxxxxx_current_rate
  # sensor.octopus_energy_electricity_xxxxxxxxxx_xxxxxxxxxxxxx_export_current_rate
  metric_octopus_import: sensor.nordpool_kwh_se3_sek_3_10_025
  metric_octopus_export: sensor.nordpool_moms

  # Standing charge can be set to a sensor (e.g. Octopus) or manually entered in pounds here (e.g. 0.50 is 50p)
  metric_standing_charge: 're:(sensor.(octopus_energy_|)electricity_[0-9a-z]+_[0-9a-z]+_current_standing_charge)'

  # Or set your actual rates across time for import and export
  # If start/end is missing it's assumed to be a fixed rate
  # Gaps are filled with zero rate
  #rates_import:
  #  -  start: "00:30:00"
  #     end: "04:30:00"
  #     rate: 7.5
  #  -  start: "04:30:00"
  #     end: "00:30:00"
  #     rate: 40.0
  #
  #   rates_export:
  #     -  rate: 0

  # Import rates can be overridden with rate_import_override
  # Export rates can be overridden with rate_export_override
  # Use the same format as above, but a date can be included if it just applies for a set day (e.g. Octopus power ups)
  # This will override even the Octopus plugin rates if enabled
  #
  #rates_import_override:
  # -  date: '2023-09-10'
  #    start: '14:00:00'
  #    end: '14:30:00'
  #    rate: 5

  # For pv estimate, leave blank for central estimate, or add 10 for 10% curve (worst case) or 90 or 90% curve (best case)
  # If you use 10 then disable pv_metric10_weight below
  # pv_estimate: 10

  # Days previous is the number of days back to find historical load data
  # Recommended is 7 to capture day of the week but 1 can also be used
  # if you have more history you could use 7 and 14 (in a list) but the standard data in HA only lasts 10 days
  days_previous:
    - 7

  # Days previous weight can be used to control the weighting of the previous load points, the values are multiplied by their
  # weights and then divided through by the total weight. E.g. if you used 1 and 0.5 then the first value would have 2/3rd of the weight and the second 1/3rd
  # Include one value for each days_previous value, each weighting on a separate line.
  # If any days_previous's that are not given a weighting they will assume a default weighting of 1.
  days_previous_weight:
    - 1

  # Number of hours forward to forecast, best left as-is unless you have specific reason
  forecast_hours: 48

  # Specify the devices that notifies are sent to, the default is 'notify' which goes to all
  #notify_devices:
  #  - mobile_app_iphone13pro

  # Battery scaling makes the battery smaller (e.g. 0.9) or bigger than its reported
  # If you have an 80% DoD battery that falsely reports it's kwh then set it to 0.8 to report the real figures
  battery_scaling: 1.0

  # Can be used to scale import and export data, used for workarounds
  import_export_scaling: 1.0

  # Export triggers:
  # For each trigger give a name, the minutes of export needed and the energy required in that time
  # Multiple triggers can be set at once so in total you could use too much energy if all run
  # Creates an entity called 'binary_sensor.predbat_export_trigger_<name>' which will be turned On when the condition is valid
  # connect this to your automation to start whatever you want to trigger
  export_triggers:
     - name: 'large'
       minutes: 60
       energy: 1.0
     - name: 'small'
       minutes: 15
       energy: 0.25

  # If you have a sensor that gives the energy consumed by your solar diverter then add it here
  # this will make the predictions more accurate. It should be an incrementing sensor, it can reset at midnight or not
  # It's assumed to be in Kwh but scaling can be applied if need be
  #iboost_energy_today: 'sensor.tasmota_energy_today'
  #iboost_energy_scaling: 1.0 `