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Sizing of a standalone photovoltaic water pumping system using a multi-objective evolutionary algorithm

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  • Muhsen, Dhiaa Halboot
  • Ghazali, Abu Bakar
  • Khatib, Tamer
  • Abed, Issa Ahmed
  • Natsheh, Emad M.

Abstract

In this paper, a differential evolution based multi-objective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS). Non-dominated sorting and crowding distance concepts are used to increase the elitism and diversity of the proposed algorithm. The proposed objective function is composed of technical and economic objectives. Loss of load probability is used as a technical objective, whereas life cycle cost is considered as an economic objective. The proposed PVPS is designed to provide a daily water demand of 30 m3 with a 20 m static head and a drawdown level. The optimal configuration of the system is selected from an optimal Pareto set of configurations to achieve balance between reliability, cost, and excess water of the system. The performance of the system is tested using hourly metorological data for one year time. Results show that the loss of load probability of the proposed system is around 0.5%. The life cycle cost, water deficit, and cost of water unit of the system are 9910 USD, 55 m3, and 0.045 USD/m3, respectively.

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  • Muhsen, Dhiaa Halboot & Ghazali, Abu Bakar & Khatib, Tamer & Abed, Issa Ahmed & Natsheh, Emad M., 2016. "Sizing of a standalone photovoltaic water pumping system using a multi-objective evolutionary algorithm," Energy, Elsevier, vol. 109(C), pages 961-973.
    • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:961-973
    DOI: 10.1016/j.energy.2016.05.070
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    7. Meunier, Simon & Heinrich, Matthias & Quéval, Loïc & Cherni, Judith A. & Vido, Lionel & Darga, Arouna & Dessante, Philippe & Multon, Bernard & Kitanidis, Peter K. & Marchand, Claude, 2019. "A validated model of a photovoltaic water pumping system for off-grid rural communities," Applied Energy, Elsevier, vol. 241(C), pages 580-591.
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    10. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2022. "A review on the integration and optimization of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    11. 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.
    12. Yaichi, Mohammed & Fellah, Mohammed-Karim & Tayebi, Azzedinne & Boutadara, Abdelkader, 2019. "A fast and simplified method using non-linear translation of operating points for PV modules energy output and daily pumped water to predict the performance of a stand-alone photovoltaic pumping syste," Renewable Energy, Elsevier, vol. 133(C), pages 248-260.
    13. Naval, Natalia & Yusta, Jose M., 2022. "Comparative assessment of different solar tracking systems in the optimal management of PV-operated pumping stations," Renewable Energy, Elsevier, vol. 200(C), pages 931-941.

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