Event-Triggered Sliding Mode Control of Power Systems With Communication Delay and Sensor Faults

Abstract

As large-scale power systems are more and more closely integrated with remote transmission technologies, they are also affected by malicious factors in the cyber and physical layers when bringing convenience. In this article, we propose a novel adaptive event-triggered strategy and apply to the multi-area power system to deal with the load frequency control (LFC) problem with network-induced delay and stochastic sensor faults based on the discrete-time sliding mode control (DSMC) technique. Compared with existing event-triggered strategies, the proposed event-triggered strategy dynamically adjusts the threshold according to system state fluctuations, which can improve the system's tolerance for sensor faults and reduce the number of transmitted packets. Firstly, a dynamic LFC model combining network-induced delay, sensor faults, adaptive event-triggered strategy and DSMC is proposed by using the analysis method of time-delay system. Then we devise an appropriate discrete-time sliding surface for each subsystem in the networked power systems. The Lyapunov stability theory is used to analyze the asymptotic stability and robustness of each subsystem, and the decentralized controller design method is derived. Finally, some simulation examples are introduced to confirm the effectiveness of the proposed adaptive event-triggered DSMC approach.