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Poster Communications Year : 2023

A Decision Support Assistant to Operate a Power Grids with Zonal Automatons

Abstract

Following the energy transition, Réseau de Transport d'Electricité (RTE) - the French Transport System Operator- is developing new adaptive zonal automatons. Each automaton monitors a zone of the power grid thanks to an optimization algorithm. An automaton can act on the power grid configuration in case of constraints. Each automaton can receive a target setpoint from human operators to decide the appropriate actions. Examples of a target path include (un)desirable configurations in future hours or information about other zones. To make operators’ work easier, RTE needs a decision-support assistant to recommend relevant target setpoints. Reinforcement Learning (RL) is a promising method to elaborate such target setpoints. However, RL requires a high number of training iterations which is time-consuming. In this poster, we present our research to design an emulator of an automaton with a short response time, thanks to a RL approach, to afford a sufficient number of iterations and reasonable computation times during training.
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Dates and versions

hal-04396136 , version 1 (15-01-2024)

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  • HAL Id : hal-04396136 , version 1

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Eva Boguslawski, Alessandro Leite, Marc Schoenauer, Matthieu Dussartre, Benjamin Donnot. A Decision Support Assistant to Operate a Power Grids with Zonal Automatons. DTU PES Summer School 2023. Future Energy Systems: Advances in OR and AI., Jun 2023, Lingby, Denmark. . ⟨hal-04396136⟩
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