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Explore optimal energy trading strategies for large-scale residential prosumer networks through this 47-minute research seminar from GERAD Research Center. Learn about a novel clustering architecture that partitions distribution grids into residential prosumer clusters (RPCs), each managed by aggregators responsible for internal energy coordination and external interactions with neighboring clusters and distribution system operators. Discover how graphon mean field game theory provides a decentralized control framework for modeling optimal energy trading as a dynamic game, enabling derivation of optimal control strategies that minimize individual prosumer energy costs. Understand how household dynamics and cost functions are influenced by both local aggregate effects within their RPC and global interactions across interconnected clusters. Examine numerical experiments conducted on a dense energy network with 100 clusters containing 200 uniform households each, demonstrating the method's effectiveness in achieving scalable and cost-efficient energy coordination across large prosumer networks.
