Consensus and Reputation-Based Resilient Control of Networked Microgrids

This paper proposes a novel strategy for networked microgrids that aims to help all normal agents to reach consensus, while the system's functionality is being threatened by malicious agents. Two control strategies based on the consensus among agents and agents' reputation have been proposed to protect the system against intelligent attacks. The communication between agents is modeled by means of an undirected graph to represent their interactions. A network of microgrids with different number of agents has been used to verify the applicability of the proposed control strategies. Both strategies show encouraging results, however, the attained results denote the superiority of the consensus scheme over the reputation-based strategy in different simulation experiments.