Dynamic event-triggered H∞ quantized load frequency control for interconnected wind power systems under stochastic delay deception attack

Abstract

In this article, a dynamic event-triggered H_∞ quantized load frequency control scheme considering stochastic delay deception attack is proposed, to stabilize interconnected wind power systems. Firstly, a larger threshold function can be obtained to improve computational efficiency by introducing a strictly positive auxiliary dynamic variable into an event-triggered scheme. Secondly, quantized measurements are introduced to significantly improve the information transmission rate; only if the signals meet the conditions for dynamic event triggering can the corresponding actuator receive the quantized control actions. Furthermore, a random delay deception attack model with tolerable boundaries considering malicious intention is proposed to improve security. Improved stability criteria with the H_∞ performance index are established by constructing a discrete-type Lyapunov–Krasovskii functional. Finally, numerical examples are presented to demonstrate the effectiveness of the proposed control method.