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PowerNet: MARL for Powergrid Control by pau.fisco is a document available to read on EtoBox.

This paper presents PowerNet, a multi-agent deep reinforcement learning algorithm designed for decentralized secondary voltage control in inverter-based microgrids. By utilizing a novel spatial discount factor and a learning-based communication protocol, PowerNet enhances training efficiency and scalability, outperforming traditional model-based methods and several state-of-the-art MARL algorithms. The research demonstrates the potential of cooperative control in improving grid resilience and operational ef

Author
pau.fisco
Language
EN