Adaptive Resilient Event-Triggered Control for T-S Fuzzy Multi-Area Power System With Pumped Storage Hydropower Under Deception Attacks

This paper investigates the load frequency control problem for nonlinear multi-area power system that incorporates pumped storage hydropower. First, a unified Takagi-Sugeno fuzzy model is developed to represent the nonlinear dynamics of power exchange progress in pumped storage hydropower, including uncertainties. Subsequently, a fuzzy logic algorithm is applied by incorporating both system error and its derivative to dynamically adjust the trigger threshold, an adaptive resilient event-triggered mechanism is proposed to reduce communication burden while improving control performance. Furthermore, a Lyapunov functional is constructed to ensure that the system is stable and strictly $\left ({{\mathcal {D}_{1},\mathcal {D}_{2},\mathcal {D}_{3}}}\right)-\lambda -dissipative$ . Finally, a three-area power system is used to show the effectiveness of the proposed mechanism. Note to Practitioners—With the increasing application of pumped storage technology in power system, the problem of frequency regulation is investigated in this paper. Takagi-Sugeno fuzzy model is employed due to its linear substructure that enables direct application of Lyapunov-based methods for stability verification. Meanwhile, an adaptive resilient event-triggered control mechanism with fuzzy logic rules is proposed to balance data transmission requirements with control performance. Qualitative and quantitative analyses verify the proposed control strategy.