Multihop Reputation Mechanism-Based Resilient Distributed Energy Management of Cyber--Physical Power System Against FDI Attack

Abstract

To tackle the challenge of malicious false data injection (FDI) attacks affecting energy management systems in cyber–physical smart grids, this study presents a multihop reputation mechanism based on resilient distributed energy management (MR-RDEM) approach. To well detect the FDI attack, a multihop reputation mechanism is proposed to detect those nodes with nonlinear mapping evaluation and voting strategy from their neighbors. To enhance the resilience of distributed energy management, a dynamic compensation strategy is proposed with a saturation based adaptive compensation term, which can well eliminate the effect of FDI attack. To alleviate the computation complexity of attack detect mechanism, an event-triggered mechanism is involved into the RDEM. Besides, the optimality and convergence of proposed approach are theoretically analyzed and well proved. The simulation results on IEEE 39-bus system and IEEE 118-bus system reveal that the proposed approach can well detect those tampered nodes and ensure the security and optimality of cyber–physical power system under FDI attack.