Dynamic event-triggered resilient network-level control for microgrids subject to FDI attacks

This paper investigates the frequency restoration problem of islanded microgrids when subjected to malicious data injection. A distributed event-triggered resilient control method based on hidden layer is proposed to mitigate the impact of false data injection (FDI) attacks on microgrids. Unlike traditional estimation-based or compensation-based approaches, the proposed method does not interfere the system during normal operations. Furthermore, this method does not rely on attack detection technology, reducing the complexity of the system. In addition, a dynamic threshold is introduced to dynamically adjust the event-triggered mechanism (ETM) over time, further reducing the number of triggers. The stability of islanded microgrids is analyzed using Lyapunov theory, and the Zeno behavior is avoided. The effectiveness and superiority of this control scheme are verified by simulation examples.