Household-Aware Community Battery Coordination: A Multi-Agent Reinforcement Learning Approach

Abstract

This poster presents a multi-agent reinforcement learning framework for coordinating household and community battery energy storage systems. The proposed approach considers household heterogeneity, multi-level objectives, internal pricing, and coordinated battery operation within a shared community energy system.