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Optimal configuration of a stand-alone PV/diesel/battery hybrid energy system based on modified PSO for a translational sprinkler irrigation machine applied in remote and water-scarce areas

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  • Liu, Kenan
  • Cai, Yaohui
  • Sun, Wei
  • Feng, Quan
  • Wang, Guanping
  • Yang, Wanxia

Abstract

The crops in remote and water-scarce areas of northwest China need help with irrigation. Translational sprinkler irrigation machines (TSIMs) have advantages in crop irrigation in remote and water-scarce areas, which can save energy while conserving water. This article presents a self-developed TSIM, and a stand-alone photovoltaic (PV)/diesel/battery hybrid energy system is introduced to supply power for the TSIM. Considering the loss of power supply probability (LPSP) and CO2 emission, an optimization model is established, in which the life cycle cost (LCC) of the hybrid energy system is taken as the objective function. Then, the modified PSO algorithm, which combines the Chebyshev chaotic mapping with the standard PSO algorithm, is used to obtain the optimal configuration of the hybrid energy system. Compared to several optimization algorithms, the modified PSO performs well in optimization. Through calculation, the optimal configuration was obtained. In addition, the LCC of the hybrid energy system is compared with that of the PV/battery system. The results indicate that the LCC of the hybrid energy system is only about 1/3 of that of the PV/battery system. Finally, the effectiveness of the optimal configuration is verified through two typical weather conditions. The optimal configuration in this article can provide a theoretical basis for the power supply for translational sprinkler irrigation.

Suggested Citation

  • Liu, Kenan & Cai, Yaohui & Sun, Wei & Feng, Quan & Wang, Guanping & Yang, Wanxia, 2025. "Optimal configuration of a stand-alone PV/diesel/battery hybrid energy system based on modified PSO for a translational sprinkler irrigation machine applied in remote and water-scarce areas," Energy, Elsevier, vol. 320(C).
    • Handle: RePEc:eee:energy:v:320:y:2025:i:c:s0360544225007558
    DOI: 10.1016/j.energy.2025.135113
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    1. He, Li & Zhang, Shiyue & Chen, Yizhong & Ren, Lixia & Li, Jing, 2018. "Techno-economic potential of a renewable energy-based microgrid system for a sustainable large-scale residential community in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 631-641.
    2. Naderipour, Amirreza & Ramtin, Amir Reza & Abdullah, Aldrin & Marzbali, Massoomeh Hedayati & Nowdeh, Saber Arabi & Kamyab, Hesam, 2022. "Hybrid energy system optimization with battery storage for remote area application considering loss of energy probability and economic analysis," Energy, Elsevier, vol. 239(PD).
    3. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Yusta-Loyo, José M. & Domínguez-Navarro, José A. & Ramírez-Rosado, Ignacio J. & Lujano, Juan & Aso, Ismael, 2011. "Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage," Applied Energy, Elsevier, vol. 88(11), pages 4033-4041.
    4. Kenan Liu & Bugong Sun & Xiaoyang Gao & Yang Zhang & Wei Sun & Quan Feng & Wanxia Yang & Licheng Wang, 2022. "Optimal Sizing of the Stand-Alone Photovoltaic System for a Solar-Powered Translational Sprinkler Irrigation Machine considering the Loss of Power Supply Probability," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, January.
    5. Abbes, Dhaker & Martinez, André & Champenois, Gérard, 2014. "Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 98(C), pages 46-62.
    6. Yilmaz, Saban & Dincer, Furkan, 2017. "Optimal design of hybrid PV-Diesel-Battery systems for isolated lands: A case study for Kilis, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 344-352.
    7. Khan, Mohammad Junaid & Yadav, Amit Kumar & Mathew, Lini, 2017. "Techno economic feasibility analysis of different combinations of PV-Wind-Diesel-Battery hybrid system for telecommunication applications in different cities of Punjab, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 577-607.
    8. Adefarati, T. & Bansal, R.C. & Naidoo, R. & Onaolapo, K.A. & Bettayeb, M. & Olulope, P.K. & Sobowale, A.A., 2024. "Design and techno-economic assessment of a standalone photovoltaic-diesel-battery hybrid energy system for electrification of rural areas: A step towards sustainable development," Renewable Energy, Elsevier, vol. 227(C).
    9. Fleck, Brian & Huot, Marc, 2009. "Comparative life-cycle assessment of a small wind turbine for residential off-grid use," Renewable Energy, Elsevier, vol. 34(12), pages 2688-2696.
    10. Rangel, N. & Li, H. & Aristidou, P., 2023. "An optimisation tool for minimising fuel consumption, costs and emissions from Diesel-PV-Battery hybrid microgrids," Applied Energy, Elsevier, vol. 335(C).
    11. Graditi, G. & Ferlito, S. & Adinolfi, G., 2016. "Comparison of Photovoltaic plant power production prediction methods using a large measured dataset," Renewable Energy, Elsevier, vol. 90(C), pages 513-519.
    12. Rodríguez-Gallegos, Carlos D. & Yang, Dazhi & Gandhi, Oktoviano & Bieri, Monika & Reindl, Thomas & Panda, S.K., 2018. "A multi-objective and robust optimization approach for sizing and placement of PV and batteries in off-grid systems fully operated by diesel generators: An Indonesian case study," Energy, Elsevier, vol. 160(C), pages 410-429.
    13. Yeon-Ju Choi & Byeong-Chan Oh & Moses Amoasi Acquah & Dong-Min Kim & Sung-Yul Kim, 2021. "Optimal Operation of a Hybrid Power System as an Island Microgrid in South-Korea," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    14. Altun, Ayse Fidan & Kilic, Muhsin, 2020. "Design and performance evaluation based on economics and environmental impact of a PV-wind-diesel and battery standalone power system for various climates in Turkey," Renewable Energy, Elsevier, vol. 157(C), pages 424-443.
    15. Nirbheram, Joshi Sukhdev & Mahesh, Aeidapu & Bhimaraju, Ambati, 2024. "Techno-economic optimization of standalone photovoltaic-wind turbine-battery energy storage system hybrid energy system considering the degradation of the components," Renewable Energy, Elsevier, vol. 222(C).
    16. 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).
    17. Maheri, Alireza & Unsal, Ibrahim & Mahian, Omid, 2022. "Multiobjective optimisation of hybrid wind-PV-battery-fuel cell-electrolyser-diesel systems: An integrated configuration-size formulation approach," Energy, Elsevier, vol. 241(C).
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