A Resilient Consensus-Based Distributed Energy Management Algorithm Against Data Integrity Attacks

This paper addresses the vulnerability of consensus-based distributed energy scheduling algorithm to data integrity attacks. A reputation-based neighborhood-watch mechanism is introduced to detect the false information and achieve optimal operating point in the presence of misbehaving controllers. The reputation-based neighborhood watch algorithm has three major functions: 1) verifying the correctness of neighbors' information based on two-hop shared information; 2) identifying the compromised controller based on reputation indexes; and 3) maintaining the correctness of local information estimation in the presence of false information. The effectiveness of the proposed method is illustrated through simulation analyses in the future renewable electric energy delivery and management system.