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Techno-Economic Analysis and Optimization of Hybrid Renewable Energy System with Energy Storage under Two Operational Modes

Author

Listed:
  • Takele Ferede Agajie

    (Department of Electrical and Electronic Engineering, Faculty of Engineering and Technology, University of Buea, Buea P.O. Box. 63, Cameroon
    Department of Electrical and Computer Engineering, Debre Markos University, Debre Markos P.O. Box 05, Ethiopia)

  • Armand Fopah-Lele

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

  • Isaac Amoussou

    (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, Johannesburg P.O. Box 524, South Africa)

  • Baseem Khan

    (Department of Electrical and Electronic Engineering Technology, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg P.O. Box 524, South Africa
    Department of Electrical and Computer Engineering, Hawassa University, Hawassa 1530, Ethiopia
    Department of Project Management, Universidad Internacional Iberoamericana, Campeche C.P. 24560, Mexico)

  • Om Prakash Mahela

    (Department of Project Management, Universidad Internacional Iberoamericana, Campeche C.P. 24560, Mexico
    Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Jaipur 302005, India)

  • Ramakrishna S. S. Nuvvula

    (Deparmtent of Electrical and Electronics, NMAM Institute of Technology, Nitte, Karkala 574110, India)

  • Divine Khan Ngwashi

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

  • Emmanuel Soriano Flores

    (Department of Project Management, Universidad Internacional Iberoamericana, Campeche C.P. 24560, Mexico
    Engineering Research & Innovation Group, Universidad Europea del Atlántico, C/Isabel Torres 21, 39011 Santander, Spain
    Department of Project Management, Fundación Universitaria Internacional de Colombia, Calle 39A, Bogotá 11131, Colombia)

  • Emmanuel Tanyi

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

Abstract

Access to cheap, clean energy has a significant impact on a country’s ability to develop sustainably. Fossil fuels have a major impact on global warming and are currently becoming less and less profitable when used to generate power. In order to replace the diesel generators that are connected to the university of Debre Markos’ electrical distribution network with hybrid renewable energy sources, this study presents optimization and techno-economic feasibility analyses of proposed hybrid renewable systems and their overall cost impact in stand-alone and grid-connected modes of operation. Metaheuristic optimization techniques such as enhanced whale optimization algorithm (EWOA), whale optimization algorithm (WOA), and African vultures’ optimization algorithm (AVOA) are used for the optimal sizing of the hybrid renewable energy sources according to financial and reliability evaluation parameters. After developing a MATLAB program to size hybrid systems, the total current cost (TCC) was calculated using the aforementioned metaheuristic optimization techniques (i.e., EWOA, WOA, and AVOA). In the grid-connected mode of operation, the TCC was 4.507 × 10 6 EUR, 4.515 × 10 6 EUR, and 4.538 × 10 6 EUR, respectively, whereas in stand-alone mode, the TCC was 4.817 × 10 6 EUR, 4.868 × 10 6 EUR, and 4.885 × 10 6 EUR, respectively. In the grid-connected mode of operation, EWOA outcomes lowered the TCC by 0.18% using WOA and 0.69% using AVOA, and by 1.05% using WOA and 1.39% using AVOA in stand-alone operational mode. In addition, when compared with different financial evaluation parameters such as net present cost (NPC) (EUR), cost of energy (COE) (EUR/kWh), and levelized cost of energy (LCOE) (EUR/kWh), and reliability parameters such as expected energy not supplied (EENS), loss of power supply probability (LPSP), reliability index (IR), loss of load probability (LOLP), and loss of load expectation (LOLE), EWOA efficiently reduced the overall current cost while fulfilling the constraints imposed by the objective function. According to the result comparison, EWOA outperformed the competition in terms of total current costs with reliability improvements.

Suggested Citation

  • Takele Ferede Agajie & Armand Fopah-Lele & Isaac Amoussou & Ahmed Ali & Baseem Khan & Om Prakash Mahela & Ramakrishna S. S. Nuvvula & Divine Khan Ngwashi & Emmanuel Soriano Flores & Emmanuel Tanyi, 2023. "Techno-Economic Analysis and Optimization of Hybrid Renewable Energy System with Energy Storage under Two Operational Modes," Sustainability, MDPI, vol. 15(15), pages 1-31, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11735-:d:1206363
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    References listed on IDEAS

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