FDI Attack Estimation and Event-Triggered Resilient Control of DC Microgrids Under Hybrid Attacks
Fuyi Yang, Xiangpeng Xie, Qiuye Sun, Dong Yue
Abstract
In this paper, false-data-injection (FDI) attack estimation and event-triggered resilient control of DC microgrid (DC-MG) systems under FDI and denial-of-service (DoS) hybrid attacks are studied. In order to describe more general DoS attack characteristics, a time-constrained DoS attack (TCDA) model is established. This model only requires attack duration information compared to the classic DoS model. Based on the above TCDA model, a new event-based switching DC-MG system model with FDI attack compensation is established by using pulse observer, event-triggered mechanism and switching state feedback control law. In addition, by using the piecewise time-varying Lyapunov-Krasovskii functional method related to the attack parameters, the sufficient conditions for the exponential stability of the closed-loop system are given. More importantly, a joint design scheme of event-based state feedback controller and FDI observer is proposed to realize FDI attack estimation and event-triggered resilient control under hybrid attacks of DC-MG. Finally, the feasibility of the proposed joint design scheme is demonstrated through the experimental study of DC-MG with two constant power loads.