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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

Author

Listed:
  • 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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