Reputation Attack Detection-Based Resilient Distributed Energy Management of Cyber-Physical Microgrid

Due to potential cyber attack, it brings a great challenge for energy management of micro-grid. To address these problems, a reputation-detection-based resilient distributed energy management approach is proposed. To well detect false data injection (FDI) and denial of service (DoS) attacks, this paper presents a reputation mechanism to detect the potential cyber attack combined with acknowledgment (ACK) signal by evaluation index from its neighbor nodes. Those identified adversarial nodes can be compensated with coordinated information from high-reputation nodes. To fight against those cyber attacks, a resilient distributed optimization approach is proposed with event-triggered mechanism, which corrects those adversarial nodes with a compensation mechanism, which can ensure the convergence even under both FDI and DoS attack. According to those simulation results, it reveals that the proposed approach can converge well under both FDI and DoS attack, which can provide a promising viable approach for security-based energy management of cyber-physical micro-grid.