Adaptive resilient load frequency control for complex microgrid system against false data injection attacks

This paper investigates the load frequency control (LFC) problem in a complex microgrid containing renewable energy source and electric vehicles under false data injection (FDI) attacks. To address this issue, we formulate a resilient control strategy combining active disturbance rejection control (ADRC) with the backstepping method. First, a complex microgrid incorporating a wind turbine generation system, load disturbance, and electric vehicles is constructed, with all sensor networks subjected to FDI attacks related to real states. Then, the state variables subjected to FDI attacks and the unknown disturbance are considered as unknown uncertainties and are estimated by extended state observers (ESOs) separately. An adaptive robust controller is designed by integrating ESO and the backstepping method to compensate for the state variables, while the Nussbaum function is introduced to address the issue of unknown control direction. The stability of all the states in the power system is proven using the Lyapunov function. Finally, the efficacy of this control strategy under FDI attacks is verified through different cases and simulation comparisons.