Multiagent Coordination for Demand Management with Energy Generation and Storage

This paper focuses on demand management of electricity in consumer groups that form a cooperative. We propose a novel multiagent coordination algorithm to shape the energy consumption of the cooperative in the presence of energy generation and storage. To coordinate individual consumers under incomplete information and optimize the energy storage decision, we decompose the problem to two subproblems: (a) optimizing demand profile of consumers given storage policy and (b) optimizing storage policy given demand profile of consumers. We prove that our algorithm converges to the optimal solution. Simulation results based on real world consumption data indicate scalability of our algorithm with respect to the number of agents and consumption slots.