Clarification about Genetic Algorithm and Time-of-Use Controller

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Hi @fabio,

if you can access the App Center, the easiest way to install everything is via the “ENTSO-E”-App (openems/io.openems.edge.core/src/io/openems/edge/app/timeofusetariff/EntsoE.java at develop · OpenEMS/openems · GitHub)

To configure manually, you’ll need:

  • Controller.Ess.Time-Of-Use-Tariff
  • TimeOfUseTariff.ENTSO-E or any other TimeOfUseTariff provider
  • Controller.Symmetric.Balancing, configured in Scheduler after time-of-use controller
  • Predictor.PersistenceModel for _sum/ProductionActivePower, _sum/ConsumptionActivePower and _sum/UnmanagedConsumptionActivePower

I’d recommend starting this way (i.e. “v1”), as it works very well in production. For more advanced and generic combination of different Controllers, you will then have to use “Energy Scheduler v2” which is currently in development and what I have been talking about in the Conference.

This is the latest backport PR: Energy Scheduler v2 / Time-of-Use-Tariff optimization (ALPHA) by sfeilmeier · Pull Request #3029 · OpenEMS/openems · GitHub

Back to “v1”. The essentials for the Genetic Algorithm are here: openems/io.openems.edge.energy/src/io/openems/edge/energy/v1/optimizer/SimulatorV1.java at develop · OpenEMS/openems · GitHub. You can find the cost calculations in the simulatePeriod() method.

Regards,
Stefan