Distributed Topology Optimization for Agent-based Peer-to-Peer Energy Market

Due to the ongoing energy transition the coordination of the power flow is shifting from centralized to decentralized, where autonomous systems such as software agents interact with each other. However, in contrast to centralized approaches, the communication effort of the agents significantly increases to share information among all agents, thereby an efficient communication approach in multi-agent systems is necessary. This paper proposes a novel distributed topology optimization approach that minimizes the communication effort in a peer-to-peer energy market, where agents buy and sell energy to efficiently dispatch energy flow. The approach is applied to a multi-agent system and simulations on an IEEE-33 and IEEE-119 bus network show that the proposed approach results in a higher financial gain with reduced communication effort compared to not applying the topology optimization. Overall, this approach has the potential to enhance the efficiency and scalability of energy management systems in a decentralized energy market.