Optimal Sizing of Stand-Alone Microgrids Based on Recent Metaheuristic Algorithms

Ahmed A. Zaki Diab, Ali M. El-Rifaie, Magdy M. Zaky and Mohamed A. Tolba
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Ahmed A. Zaki Diab: Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt
Ali M. El-Rifaie: College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
Magdy M. Zaky: Nuclear Research Center, Engineering Department, ETRR-2, Atomic Energy Authority (EAEA), Cairo 11787, Egypt
Mohamed A. Tolba: Nuclear Research Center, Reactors Department, Egyptian Atomic Energy Authority, Cairo 11787, Egypt

Mathematics, 2022, vol. 10, issue 1, 1-25

Abstract: Scientists have been paying more attention to the shortage of water and energy sources all over the world, especially in the Middle East and North Africa (MENA). In this article, a microgrid configuration of a photovoltaic (PV) plant with fuel cell (FC) and battery storage systems has been optimally designed. A real case study in Egypt in Dobaa region of supplying safety loads at a nuclear power plant during emergency cases is considered, where the load characteristics and the location data have been taken into consideration. Recently, many optimization algorithms have been developed by researchers, and these algorithms differ from one another in their performance and effectiveness. On the other hand, there are recent optimization algorithms that were not used to solve the problem of microgrids design in order to evaluate their performance and effectiveness. Optimization algorithms of equilibrium optimizer (EQ), bat optimization (BAT), and black-hole-based optimization (BHB) algorithms have been applied and compared in this paper. The optimization algorithms are individually used to optimize and size the energy systems to minimize the cost. The energy systems have been modeled and evaluated using MATLAB.

Keywords: isolated microgrids; cost of energy (COE); loss of power supply probability (LPSP); optimization techniques (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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