A Robust Controller Design based on Kharitonov’s Theorem for Frequency Control in an Interconnected Power System

Abstract

The load frequency control of power systems is often carried out using methods that are dependent on the system load and parameters. Therefore, the controller design is not robust in unforeseen cases such an attack on the power system, variations in system parameters, or changes in load. In such methods, there is a need for an attack detection tool, and moreover, the controller parameters need to be adjusted as the load and power system parameters change. In this paper, Kharitonov's theorem was applied to design a robust decentralized load frequency control for a two-area power system in the presence of electric vehicle fleets as a power source that were targeted by a cyberattack. Furthermore, the robustness of the system against system nonlinearities was demonstrated by testing the efficacy of the controller on both linear and nonlinear systems. The controller design was robust such that there was no need to change the gains of the controller even during an attack. This was compared with the performance of controllers designed using GWO algorithm and fuzzy logic that needed retuning for different case studies with different variations in system parameters, load, or inclusion of a cyberattack to the electric vehicle fleets.

Load Frequency Active Disturbance Rejection Control Based on Improved Particle Swarm Optimization

“…As the scale and complexity of modern power systems gradually increase, various advanced control algorithms have been studied to varying degrees in LFC, such as sliding mode control [6][7][8], robust control [9,10], automatic adaptive control [11,12] and modelpredictive control [13][14][15], etc. However, although the advanced control methods mentioned above have improved the LFC performance of the power system, these methods are not suitable for application in engineering practice because of their complex structures and excessive information requirements.…”