Study of ANN-based Load Frequency Control For Two-Area Power System

Abstract

The controller based on Artificial Neural Network (ANN) for Load Frequency Control (LFC) in a two-area linked power system is designed and implemented in this article. The performance of the suggested ANN controller is compared with that of traditional fuzzy logic controllers (FLC) and proportional-integral-derivative (PID). The study of this paper shows that under various load circumstances, the ANN-based controller offers a significantly improved dynamic response. The Levenberg-Marquardt method was used to train the neural controller, which successfully reduces load frequency variations and improves system stability. The model of the power system has been simulated, and the performance of the controller has been assessed using MATLAB/Simulink. The suggested ANN controller performs better than the conventional and FLC in terms of peak overshoot, settling time, and control precision, demonstrating its appropriateness for present LFC applications