Round-Robin-Based Cooperative Resilient Control for AC/DC MG Under FDI Attacks

• Published in: IEEE transactions on industrial electronics (1982) Vol. 72; no. 8; pp. 8419 - 8428
• Main Authors: Fan, Sha, Fu, Yu-Kai, Liu, Yiyang, Deng, Chao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Ac/dc microgrid; Active-reactive power; Control methods; Controllers; Cooperative control; Data buses; Design of experiments; Distributed generation; distributed resilient secondary control; false data injection attacks; Frequency control; Iterative methods; Job shop scheduling; Microgrids; Observers; Protocols; Reactive power; Real time; Real-time systems; RR scheduling protocol; Scheduling; Telecommunications; Transient performance; Voltage control
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2024.3522484

In this article, the Round-Robin (RR) based cooperative resilient secondary control problem for ac/dc microgrid (MG) under false data injection (FDI) attacks is solved. To solve the problem, a cooperative resilient control method is proposed, which consists of a decentralized iterative observer, a RR scheduling protocol, and a distributed resilient secondary controller. Specifically, a decentralized iterative observer is first designed to estimate the state of the ac main bus voltage amplitude, ac bus frequency, bidirectional interlinking converter (BIC) active/reactive power, and FDI attacks. Then, a RR scheduling protocol is introduced to reduce communication among BICs. Based on the designed iterative observer and the RR scheduling protocol, a distributed resilient secondary controller is designed to compensate the influence of FDI attacks. Compared with existing resilient control strategies in hybrid ac/dc MGs under FDI attacks, the proposed resilient cooperative control method can exhibit better transient performance with less communication. Finally, the efficacy of the proposed approach is confirmed through experiments in a real-time simulator OPAL-RT.