Adaptive-Memory Event-Triggered Load Frequency Control for Multi-Input-Delay Power Systems Against FDI Attacks and Sensor Faults

Abstract

To ensure the stability and security of power systems under various potential threats, this brief deals with the load frequency control (LFC) problem while taking uncertainty, input delays, false data injection attacks (FDIAs) and sensor faults into consideration. For multiarea power systems involving electric vehicles (EVs), an uncertain multi-delay framework is first established, and a transformation technique is employed to generate an equivalent model capable of effectively handling multiple input delays. Then, an adaptive-memory event-triggered scheme (AMETS) is presented to reduce the transmission frequency of control signals and save network resources. Furthermore, the asymptotical stability in the mean-square sense is obtained, and simulation results illustrate the validity of our approach.