Agile Powerwall

Home Assistant Pyscript-based integration that uploads dynamic pricing to Tesla Powerwalls.

This is primarily designed to sync Octopus Agile prices to Tesla Powerwalls. It glues together two pieces of software

• Home Assistant Octopus Energy
• TeslaPy

using

• Pyscript.

Installation

1. Install Home Assistant Octopus Energy integration.
2. Install Pyscript integration.
3. Unzip the release zip into the Home Assistant directory /config.
4. Add Pyscript app configuration:

pyscript:
    apps:
        powerwall:
            email: <username/email>
            refresh_token: <refresh_token>
            tariff_name: Agile
            tariff_provider: Octopus
            import_mpan: <mpan>
            import_tariff_breaks: [0.10, 0.20, 0.30]
            import_tariff_pricing: ["average", "average", "maximum", "maximum"]
            plunge_pricing_tariff_breaks: [0.0, 0.10, 0.30]
            plunge_pricing_tariff_pricing: ["average", "maximum", "maximum", "maximum"]

5. Optionally, create an input_text helper called powerwall_tariff_update_status if you want to see status messages.

Configuration

email: E-mail address of your Tesla account.

refresh_token: One-off refresh token (see e.g. https://github.com/DoctorMcKay/chromium-tesla-token-generator)

tariff_name: name of the tariff.

tariff_provider: name of the tariff provider.

import_mpan: MPAN to use for import rates

export_mpan: MPAN to use for export rates if you have one

import_tariff_breaks: Powerwall currently only supports four pricing levels: Peak, Mid-Peak, Off-Peak and Super Off-Peak. Dynamic pricing therefore has to be mapped to these four levels. The import_tariff_breaks represent the thresholds for each level. So, by default, anything below £0.10 is mapped to Super Off-Peak, between £0.10 and £0.20 to Off-Peak, between £0.20 and £0.30 to Mid-peak, and above £0.30 to Peak. (You can use import_tariff_breaks: jenks to calculate optimal breaks, but this may not give optimal behaviour.)

plunge_pricing_tariff_breaks: similar to above, but applied if there are any plunge (negative) prices.

import_tariff_pricing: determines how to calculate the price of each import pricing level from the actual prices assigned to a level.

plunge_pricing_tariff_pricing: similar to above, but applied if there are any plunge (negative) prices.

export_tariff_pricing: determines how to calculate the price of each export pricing level from the actual prices assigned to a level.

import_standing_charge: sensor name or value.

export_standing_charge: sensor name or value.

schedule_type: one of:

week - current day rates are used for the week (default).

weekend - same as week, but when possible, current day rates are used for midweek/weekend and next day rates are used for weekend/midweek.

multiday - current day rates are used to span one part of the week, and next day rates are used to span the rest (not compatible with in-app editor).

maintain_history: keep previous schedules, don't calculate schedule afresh (default: false).

Computed thresholds

As well as numeric thresholds, the following computed thresholds are also supported:

lowest(num_hours): sets the threshold at the price to include the cheapest num_hours hours.

highest(num_hours): sets the threshold at the price to exclude the most expensive num_hours hours.

states(sensor_name): uses the value of the specified sensor as a threshold.

state_attr(sensor_name, attr_name): uses the value of the specified state attribute as a threshold.

e.g.:

            import_tariff_breaks: ["lowest(2)", 0.20, 0.30]

Pricing formulas

average: the average of all the prices. If the average is negative, it is set to zero.

nonNegativeAverage: the average of all the prices. If a price is negative, it is taken to be zero.

minimum: the minimum of all the prices. If the minimum is negative, it is set to zero.

maximum: the maximum of all the prices.