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Energy Management Control Strategy for Renewable Energy System Based on Spotted Hyena Optimizer

Hegazy Rezk1,2,*, Ahmed Fathy3,4, Mokhtar Aly5,6, Mohamed N. Ibrahim7,8,9

1 College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser, 11991, Saudi Arabia
2 Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, 61111, Egypt
3 Electrical Engineering Department, Faculty of Engineering, Jouf University, Sakaka, Saudi Arabia
4 Electrical Power and Machine Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt
5 Department of Electrical Engineering, Aswan University, Aswan, 81542, Egypt
6 Electronics Engineering Department, Universidad Tecnica Federico Santa Maria, Valparaiso, 2390123, Chile
7 Department of Electromechanical, Systems and Metal Engineering, Ghent University, Ghent, 9000, Belgium
8 FlandersMake@UGent–corelab EEDT-MP, 3001, Leuven, Belgium
9 Electrical Engineering Department, Kafrelshiekh University, Kafr el-Sheikh, 33511, Egypt

* Corresponding Author: Hegazy Rezk. Email: email

(This article belongs to the Special Issue: Emerging Computational Intelligence Technologies for Software Engineering: Paradigms, Principles and Applications)

Computers, Materials & Continua 2021, 67(2), 2271-2281.


Hydrocarbons, carbon monoxide and other pollutants from the transportation sector harm human health in many ways. Fuel cell (FC) has been evolving rapidly over the past two decades due to its efficient mechanism to transform the chemical energy in hydrogen-rich compounds into electrical energy. The main drawback of the standalone FC is its slow dynamic response and its inability to supply rapid variations in the load demand. Therefore, adding energy storage systems is necessary. However, to manage and distribute the power-sharing among the hybrid proton exchange membrane (PEM) fuel cell (FC), battery storage (BS), and supercapacitor (SC), an energy management strategy (EMS) is essential. In this research work, an optimal EMS based on a spotted hyena optimizer (SHO) for hybrid PEM fuel cell/BS/SC is proposed. The main goal of an EMS is to improve the performance of hybrid FC/BS/SC and to reduce the amount of hydrogen consumption. To prove the superiority of the SHO method, the obtained results are compared with the chimp optimizer (CO), the artificial ecosystem-based optimizer (AEO), the seagull optimization algorithm (SOA), the sooty tern optimization algorithm (STOA), and the coyote optimization algorithm (COA). Two main metrics are used as a benchmark for the comparison: the minimum consumed hydrogen and the efficiency of the system. The main findings confirm that the minimum amount of hydrogen consumption and maximum efficiency are achieved by the proposed SHO based EMS.


Cite This Article

APA Style
Rezk, H., Fathy, A., Aly, M., Ibrahim, M.N. (2021). Energy management control strategy for renewable energy system based on spotted hyena optimizer. Computers, Materials & Continua, 67(2), 2271-2281.
Vancouver Style
Rezk H, Fathy A, Aly M, Ibrahim MN. Energy management control strategy for renewable energy system based on spotted hyena optimizer. Comput Mater Contin. 2021;67(2):2271-2281
IEEE Style
H. Rezk, A. Fathy, M. Aly, and M.N. Ibrahim "Energy Management Control Strategy for Renewable Energy System Based on Spotted Hyena Optimizer," Comput. Mater. Contin., vol. 67, no. 2, pp. 2271-2281. 2021.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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