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

Author

Listed:
  • 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
    Electrical Power Systems Department, Moscow Power Engineering Institute, 111250 Moscow, Russia)

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.

Suggested Citation

  • Ahmed A. Zaki Diab & Ali M. El-Rifaie & Magdy M. Zaky & Mohamed A. Tolba, 2022. "Optimal Sizing of Stand-Alone Microgrids Based on Recent Metaheuristic Algorithms," Mathematics, MDPI, vol. 10(1), pages 1-25, January.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:1:p:140-:d:717294
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    Citations

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    Cited by:

    1. Elfatah, Atef A. & Hashim, Fatma A. & Mostafa, Reham R. & El-Sattar, Hoda Abd & Kamel, Salah, 2023. "Energy management of hybrid PV/diesel/battery systems: A modified flow direction algorithm for optimal sizing design — A case study in Luxor, Egypt," Renewable Energy, Elsevier, vol. 218(C).
    2. Fayza S. Mahmoud & Ashraf M. Abdelhamid & Ameena Al Sumaiti & Abou-Hashema M. El-Sayed & Ahmed A. Zaki Diab, 2022. "Sizing and Design of a PV-Wind-Fuel Cell Storage System Integrated into a Grid Considering the Uncertainty of Load Demand Using the Marine Predators Algorithm," Mathematics, MDPI, vol. 10(19), pages 1-26, October.
    3. Ali M. Jasim & Basil H. Jasim & Florin-Constantin Baiceanu & Bogdan-Constantin Neagu, 2023. "Optimized Sizing of Energy Management System for Off-Grid Hybrid Solar/Wind/Battery/Biogasifier/Diesel Microgrid System," Mathematics, MDPI, vol. 11(5), pages 1-34, March.
    4. Mohseni, Soheil & Khalid, Roomana & Brent, Alan C., 2023. "Stochastic, resilience-oriented optimal sizing of off-grid microgrids considering EV-charging demand response: An efficiency comparison of state-of-the-art metaheuristics," Applied Energy, Elsevier, vol. 341(C).

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