Fuzzy Adaptive Event-Triggered Economic Operation for Multiarea Robust Frequency Regulation Under Unsecured Communication Channel

This article studies the frequency fluctuation problems of a multiarea power system with decentralized control strategy for economic operation under load disturbance and unsecured communication channel. To address the above issues, decentralized bandwidth-aware fuzzy adaptive event triggered mechanism (DBFA-ETM) is proposed to compromise between the utilization of bandwidth resources and the frequency regulation performance by intelligently adjusting the threshold. Then, the decentralized LFC power system model with DBFA-ETM is reconstructed under the mixed attacks. By applying an improved looped-functional, feasible solutions are obtained according to Lyapunov stability theory to ensure that the power system is asymptotically stable with the prescribed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> performance index level. In addition, the frequency regulation performance is optimized by using the particle swarm optimization (PSO) algorithm. Simulation results on a New-England IEEE 39-bus system with quantitative analyses illustrate that the proposed method has the effectiveness and potential on engineering application in the aspect of economic operation.