Reactive Power Management Based Hybrid GAEO

Mahmoud Hemeida, Tomonobu Senjyu, Salem Alkhalaf, Asmaa Fawzy, Mahrous Ahmed and Dina Osheba
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Mahmoud Hemeida: Minia Higher Institute of Engineering, Minya 61111, Egypt
Tomonobu Senjyu: Department of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus, Nishihara 903-0213, Japan
Salem Alkhalaf: Department of Computer, College of Science and Arts in Ar-Rass, Qassim University, Ar Rass 52571, Saudi Arabia
Asmaa Fawzy: Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt
Mahrous Ahmed: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Dina Osheba: Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebin El Kom 32511, Egypt

Sustainability, 2022, vol. 14, issue 11, 1-17

Abstract: Electrical power networks are expanded regularly to meet growing energy requirements. Reactive power dispatch (RPD) optimization is a powerful tool to enhance a system’s efficiency, reliability, and security. RPD optimization is classified as a non-linear and non-convex problem. In this paper, the RPD optimization problem is solved based on novel hybrid genetic algorithms—equilibrium optimizer (GAEO) optimization algorithms. The control variables are determined in such a way that optimizes RPD and minimizes power losses. The efficiency of the proposed optimization algorithms is compared to other techniques that have been used recently to solve the RPD problem. The proposed algorithm has been tested for optimization RPD for three test systems, IEEE14-bus, IEEE-30bus, and IEEE57-bus. The obtained results show the superiority of GAEO over other techniques for small test systems, IEEE14-bus and IEEE-30bus. GAEO shows good results for large system, IEEE 57-bus.

Keywords: reactive power dispatch; GAEO; power loss minimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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