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Optimal Modeling and Feasibility Analysis of Grid-Interfaced Solar PV/Wind/Pumped Hydro Energy Storage Based Hybrid System

Author

Listed:
  • Isaac Amoussou

    (Department of Electrical and Electronic Engineering, Faculty of Engineering and Technology, University of Buea, Buea P.O. Box 63, Cameroon)

  • Emmanuel Tanyi

    (Department of Electrical and Electronic Engineering, Faculty of Engineering and Technology, University of Buea, Buea P.O. Box 63, Cameroon)

  • Ahmed Ali

    (Department of Electrical and Electronic Engineering Technology, Faculty of Engineering and the Built Environment, University of Johannesburg, Cnr Kingsway & University Roads, Auckland Park, P.O. Box 524, Johannesburg 2092, South Africa)

  • Takele Ferede Agajie

    (Department of Electrical and Electronic Engineering, Faculty of Engineering and Technology, University of Buea, Buea P.O. Box 63, Cameroon)

  • Baseem Khan

    (Department of Electrical and Computer Engineering, Hawassa University, Hawassa P.O. Box 05, Ethiopia
    Department of Project Management, Universidad Internacional Iberoamericana, Campeche 24560, Mexico)

  • Julien Brito Ballester

    (Department of Project Management, Universidad Internacional Iberoamericana, Campeche 24560, Mexico
    Department of Project Management, Universidad Europea del Atlántico, C/Isabel Torres 21, 39011 Santander, Spain)

  • Wirnkar Basil Nsanyuy

    (Department of Electrical and Electronic Engineering, Faculty of Engineering and Technology, University of Buea, Buea P.O. Box 63, Cameroon)

Abstract

Access to inexpensive, clean energy is a key factor in a country’s ability to grow sustainably The production of electricity using fossil fuels contributes significantly to global warming and is becoming less and less profitable nowadays. This work therefore proposes to study the different possible scenarios for the replacement of light fuel oil (LFO) thermal power plants connected to the electrical network in northern Cameroon by renewable energy plants. Several scenarios such as the combination of solar photovoltaic (PV) with a pumped hydro storage system (PHSS), Wind and PHSS and PV-Wind-PHSS have been studied. The selected scenarios are evaluated based on two factors such as the system’s total cost (TC) and the loss of load probability (LOLP). To achieve the results, metaheuristics such the non-dominated sorting whale optimization algorithm (NSWOA) and non-dominated sorting genetic algorithm-II (NSGA-II) have been applied under MATLAB software. The optimal sizing of the components was done using hourly meteorological data and the hourly power generated by the thermal power plants connected to the electrical grid. Both algorithms provided satisfactory results. However, the total cost in the PV-PHSS, Wind-PHSS, and PV-Wind-PHSS scenarios with NSWOA is, respectively, 1%, 6%, and 0.2% lower than with NSGA-II. According to NSWOA results, the total cost for the PV-Wind-PHSS scenario at LOLP 0% is 4.6% and 17% less than the Wind-PHS and PV-PHSS scenarios, respectively. The profitability study of all three scenarios showed that the project is profitable regardless of the scenario considered.

Suggested Citation

  • Isaac Amoussou & Emmanuel Tanyi & Ahmed Ali & Takele Ferede Agajie & Baseem Khan & Julien Brito Ballester & Wirnkar Basil Nsanyuy, 2023. "Optimal Modeling and Feasibility Analysis of Grid-Interfaced Solar PV/Wind/Pumped Hydro Energy Storage Based Hybrid System," Sustainability, MDPI, vol. 15(2), pages 1-30, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1222-:d:1029828
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    1. Liu, Lintong & Zhai, Rongrong & Hu, Yangdi, 2023. "Performance evaluation of wind-solar-hydrogen system for renewable energy generation and green hydrogen generation and storage: Energy, exergy, economic, and enviroeconomic," Energy, Elsevier, vol. 276(C).
    2. Alharbi, Talal & Abo-Elyousr, Farag K. & Abdelshafy, Alaaeldin M., 2024. "Efficient Coordination of Renewable Energy Resources through Optimal Reversible Pumped Hydro-Storage Integration for Autonomous Microgrid Economic Operation," Energy, Elsevier, vol. 304(C).

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