Interval Type-2 Fuzzy-Based Dynamic Event-Triggered Distributed Control for Multiarea Power Systems Against Hybrid...

This article investigates the dynamic event-triggered distributed load frequency control (LFC) problem for interval type-2 (IT2) fuzzy-based multiarea power systems under hybrid malicious attacks, i.e., denial-of-service (DoS) attacks and deception attacks. Based on the acknowledgment (ACK) character technique, a new dynamic event-triggered mechanism (DETM) is proposed to further save network resources. Considering the uncertain nonlinearity in turbine and governor dynamics, a novel stochastic switching IT2 fuzzy power system model is built under hybrid attacks and DETMs. To achieve LFC, a distributed fuzzy controller is designed to incorporate the neighborhood information of power systems. Then, a novel piecewise Lyapunov functional is developed to make the closed-loop system mean-square exponentially stable with $H_{\infty }$ disturbance attenuation performance. With the developed three-step estimation method, the boundary information of membership function (MF) product terms is acquired and introduced into the stability analysis to reduce the conservativeness of stability conditions. Finally, three-area power systems are given to show the effectiveness of the distributed security control algorithm.