Coalitional Demand Response Management in Community Energy Management Systems

With the advent of Distributed Energy Resources within smart grid systems, traditional demand response management (DRM) models need to be redesigned capture prosumers’ energy consumption requests and dynamic behavior market. In this paper, a coalitional DRM model is introduced based on principles Game Theory reinforcement learning dynamically determine formation in local trading communities their optimal consumption. A hedonic game-theoretic enable prosumers autonomously select an community considering partially available information regarding generation characteristics utility companies’ provided rewards per community. Then, log-linear proposed each prosumer distributedly detailed evaluation performed real data collected from southwest area USA.