A Novel Cooperative Resilient Control Method for Energy Storage Systems Under Hybrid Attacks

作者：Qi Tang, Chao Deng, Sha Fan, Yu Wang, Dong Yue, Bohui Wang · 发表于：IEEE Transactions on Industrial Electronics · 年份：2024 · DOI：10.1109/tie.2024.3413808 · 被引用次数：10 · 研究领域：Microgrid Control and Optimization、Smart Grid Security and Resilience、Advanced Memory and Neural Computing

In this article, a novel cooperative resilient control method is proposed to solve the distributed resilient control issue of frequency restoration, fair active power sharing, and state-of-charge (SoC) balancing in AC microgrids (MGs) of energy storage systems (ESSs) under hybrid cyber attacks including false data injection (FDI) and denial-of-service (DoS) attacks. Different from the existing distributed resilient control methods on MGs under hybrid attacks, the developed method can guarantee the precise convergence of frequency restoration, fair active power sharing, and SoC balancing. Specifically, a novel local iterative attack observer is first designed to estimate FDI attacks accurately. Based on the mean of the iterative attack observation sequences, a distributed resilient controller is proposed to accurately compensate for the effects of hybrid attacks, and the stability of the closed-loop MG system is proven by the Lyapunov theory. To maximize the tolerance duration of DoS attacks, an optimization algorithm is proposed to select the controller parameters. Finally, the proposed attack resilient control method is implemented in MGs with four ESSs, and its effectiveness under hybrid attacks is validated on the real-time simulator OPAL-RT.