Decentralized Energy Management of Multiagent Distribution Systems Considering the Grid Reliability and Agent Misbehavior

In recent years, the high expansion of independent energy sources and development of multiagent structures have resulted in new challenges in the efficient power management of distribution networks. In this regard, decentralized management along considering operational concerns of the system will be a key factor in running the future multiagent systems. Therefore, this article proposes a decentralized framework based on the alternating direction method of multipliers for managing the peer-to-peer (P2P) energy trading in a multiagent distribution system while considering the technical constraints and reliability of the network. This strategy facilitates considering the effects of the network reliability while running the agents' optimization in a decentralized manner. Respectively, each agent would tend to exchange energy with more reliable agents, which would result in the resilient operation of the network. Moreover, the uncertainty of renewable energy sources is addressed using distributionally robust optimization. Additionally, with the aim of increasing the security of the P2P energy market against communication errors and agents' misbehavior, an algorithm is developed to identify the existence of a problem in the market convergence as well as how it could be mitigated. Finally, this scheme is investigated on 37 and 69 bus test systems to study its capability in running sustainable energy systems.