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Optimal Sizing of a Photovoltaic Pumping System Integrated with Water Storage Tank Considering Cost/Reliability Assessment Using Enhanced Artificial Rabbits Optimization: A Case Study

Author

Listed:
  • Abdolhamid Mazloumi

    (Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan 4917954834, Iran)

  • Alireza Poolad

    (Department of Electrical Engineering, Bushehr Branch, Islamic Azad University, Bushehr 7515895496, Iran)

  • Mohammad Sadegh Mokhtari

    (Department of Computer Science, University of Antwerp, 2000 Antwerp, Belgium)

  • Morteza Babaee Altman

    (Department of Energy Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 1591634311, Iran)

  • Almoataz Y. Abdelaziz

    (Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt)

  • Mahmoud Elsisi

    (Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan
    Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo 11629, Egypt)

Abstract

In this paper, optimal sizing of a photovoltaic (PV) pumping system with a water storage tank (WST) is developed to meet the water demand to minimize the life cycle cost (LCC) and satisfy the probability of interrupted water (p IW ) constraint considering real region data. The component sizing, including the PV resources and the WST, is determined optimally based on LCC and p IW using a new meta-heuristic method named enhanced artificial rabbits optimization (EARO) via a nonlinear inertia weight reduction strategy to overcome the premature convergence of its conventional algorithm. The WST is sized optimally regarding the lack of irradiation and inaccessibility of the pumping system so that it is able to improve the water supply reliability. The LCC for water extraction heights of 5 and 10 m is obtained at 0.2955 M$ and 0.2993 M$, respectively, and the p IW in these two scenarios is calculated as zero, which means the complete and reliable supply of the water demand of the customers using the proposed methodology based on the EARO. Also, the results demonstrated the superior performance of EARO in comparison with artificial rabbits optimization (ARO) and particle swarm optimization (PSO); these methods have supplied customers’ water demands with higher costs and lower reliability than the proposed EARO method. Also, during the sensitivity analysis, the results showed that changes in the irradiance and height of the water extraction have a considerable effect on the cost and ability to meet customer demand.

Suggested Citation

  • Abdolhamid Mazloumi & Alireza Poolad & Mohammad Sadegh Mokhtari & Morteza Babaee Altman & Almoataz Y. Abdelaziz & Mahmoud Elsisi, 2023. "Optimal Sizing of a Photovoltaic Pumping System Integrated with Water Storage Tank Considering Cost/Reliability Assessment Using Enhanced Artificial Rabbits Optimization: A Case Study," Mathematics, MDPI, vol. 11(2), pages 1-21, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:2:p:463-:d:1036684
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    References listed on IDEAS

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    1. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2014. "Technical feasibility study on a standalone hybrid solar-wind system with pumped hydro storage for a remote island in Hong Kong," Renewable Energy, Elsevier, vol. 69(C), pages 7-15.
    2. Lorenzo, C. & Almeida, R.H. & Martínez-Núñez, M. & Narvarte, L. & Carrasco, L.M., 2018. "Economic assessment of large power photovoltaic irrigation systems in the ECOWAS region," Energy, Elsevier, vol. 155(C), pages 992-1003.
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