Cover
Vol. 21 No. 1 (2025)

Published: September 19, 2025

Pages: 145-155

Original Article

Advanced Neural Network-Based Load Frequency Regulation in Two-Area Power Systems

Mohammed Taha Yunis 1 Mohamed DJEMEL 2
1Department of Technical Electrical, Technical Institute in Nasiriya, Southern Technical University, Basra, Iraq
2University of Sfax, National Engineering School of Sfax, Control an Energy Management Laboratory (CEMLab), Tunisia
History
  • Received: March 22, 2024
  • Revised: May 10, 2024
  • Accepted: May 24, 2024
  • Available Online: December 6, 2024
DOI

https://doi.org/10.37917/ijeee.21.1.14

Abstract

In this paper, enhancing dynamic performance in power systems through load frequency control (LFC) is explored across diverse operating scenarios. A new Neural Network Model Predictive Controller (NN-MPC) specifically tailored for two-zone load frequency power systems is presented. ” Make your paper more scientific. The NN-MPC marries the predictive accuracy of neural networks with the robust capabilities of model predictive control, employing the nonlinear Levenberg-Marquardt method for optimization. Utilizing local area error deviation as feedback, the proposed controller’s efficacy is tested against a spectrum of operational conditions and systemic variations. Comparative simulations with a Fuzzy Logic Controller (FLC) reveal the proposed NN-MPC’s superior performance, underscoring its potential as a formidable solution in power system regulation.

Keywords

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