2024 : 2 : 23
Hassan Bevrani

Hassan Bevrani

Academic rank: Professor
Education: PhD.
ScopusId: 55913436700
Faculty: Faculty of Engineering
Address: Dept. Of Electrical and Computer Eng, University of Kurdistan, Allameh Hamdi Blvd, Sanandaj PO Box 416, P. C: 66177-15175, Kurdistan, Iran
Phone: +98-87-33624001


Decentralized Model Predictive-Based Load-Frequency Control in an Interconnected Power System Concerning Wind Turbines
load-frequency control, integral control, wind turbine, model predictive control, decentralized control
Journal IEEJ Transactions on Electrical and Electronic Engineering
Researchers Tarek Hassan Mohamed ، Takashi Hiyama ، Ahmed Abd-Eltawwab Hassan ، Hassan Bevrani ، Jorge Morel


This paper presents a load-frequency control (LFC) design using the model predictive control (MPC) technique in a multiarea power system in the presence of wind turbines (WTs). In the studied system, the controller of each local area is designed independently such that the stability of the overall closed-loop system is guaranteed. A frequency response model of the multi-area power system including WTs is introduced, and physical constraints of the governors and turbines are considered. The model was employed in the MPC structures. Digital simulations for a two-area power system are provided to validate the effectiveness of the proposed scheme. The results show that with the proposed MPC technique the overall closed-loop system performance shows robustness in the face of uncertainties due to governor and turbine parameter variation and load disturbances. A performance comparison between the proposed controller with WTs and MPC without WTs and a classical integral control scheme is carried out, confirming the superiority of the proposed MPC technique with WTs.