Deep multi‐agent Reinforcement Learning for cost‐efficient distributed load frequency control

Abstract The rise of microgrid‐based architectures is modifying significantly the energy control landscape in distribution systems, making distributed control mechanisms necessary to ensure reliable power system operations. In this article, the use of Reinforcement Learning techniques is proposed to...

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Bibliographic Details
Main Authors: Sergio Rozada, Dimitra Apostolopoulou, Eduardo Alonso
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Energy Systems Integration
Online Access:https://doi.org/10.1049/esi2.12030