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A Novel Design of Decentralized LFC to Enhance Frequency Stability of Egypt Power System Including Wind Farms

Gaber Magdy(1*), Gaber Shabib(2), Adel Abdel Elbaset(3), Thongchart Kerdphol(4), Yaser Qudaih(5), Hassan Bevrani(6), Yasunori Mitani(7)

(1) Department of Electrical and Electronics Engineering, Kyushu Institute of Technology, Japan
(2) Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Egypt
(3) Department of Electrical Engineering, Faculty of Engineering, Minia University, Egypt
(4) Department of Electrical and Electronics Engineering, Kyushu Institute of Technology (KIT), Japan
(5) Electrical Engineering Department, American University, Jordan
(6) Electrical and Computer Engineering Department, University of Kurdistan, Iran, Islamic Republic of
(7) Department of Electrical and Electronics Engineering, Kyushu Institute of Technology (KIT), Japan
(*) Corresponding author


DOI: https://doi.org/10.15866/irecon.v6i1.14516

Abstract


This paper presents a real hybrid power system in Egypt, which includes both conventional generation units and Renewable Energy Sources (RESs) for studying the Load Frequency Control (LFC) problem. The conventional generation system in the Egyptian Power System (EPS) is decomposed into three dynamic subsystems; non-reheat, reheat and hydro power plants. Moreover, real wind speed data extracted from Zafarana location in Egypt is used for achieving a realistic wind power study. Each subsystem of the EPS has its own characteristics compared to the others. Moreover, the physical constraints of the governors and turbines such as Generation Rate Constraints (GRCs) of power plants and speed governor dead band (i.e., backlash) are taken into consideration. Therefore, this paper proposes a decentralized controller for each subsystem independently, to guarantee the stability of the overall closed-loop system. Hence, an optimal PID controller-based Particle Swarm Optimization (PSO) algorithm is proposed for every subsystem separately to regulate the frequency and track the load demands of the EPS. The performance of the proposed decentralized controller of each subsystem is compared to the centralized one under different operational scenarios. The EPS is tested using the nonlinear simulation by Matlab/SIMULINK. The obtained results reveal the superior robustness of the proposed decentralized controller against different load disturbance patterns, real wind power fluctuations and EPS uncertainties.
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Keywords


Load Frequency control (LFC); Decentralized Control; Egyptian Power System; Particle Swarm Optimization (PSO)

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