IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6133969.html
   My bibliography  Save this article

Optimal Sizing of the Stand-Alone Photovoltaic System for a Solar-Powered Translational Sprinkler Irrigation Machine considering the Loss of Power Supply Probability

Author

Listed:
  • Kenan Liu
  • Bugong Sun
  • Xiaoyang Gao
  • Yang Zhang
  • Wei Sun
  • Quan Feng
  • Wanxia Yang
  • Licheng Wang

Abstract

The translational sprinkler irrigation machine is widely used because of its high degree of automation, less manual investment, and convenient movement. However, when using the sprinkler irrigation machine, the power supply is difficult to be guaranteed in some remote power shortage areas. Solar energy has become one of the best choices for the power source of sprinkler irrigation machines. An important issue is the optimal sizing of the stand-alone photovoltaic system for a solar-powered translational sprinkler irrigation machine. This work conducts the optimal sizing of the stand-alone photovoltaic system for a solar-powered translational sprinkler irrigation machine considering the loss of power supply probability. Firstly, the self-developed translational sprinkler irrigation machine is introduced. The load power, which includes the driving power of the translational sprinkler irrigation machine, water intake pressure driving power, and the loss power of the controller and sensors, is considered in the calculation process. Subsequently, the photovoltaic generator model and the battery storage model are established. Then, the stand-alone photovoltaic system is optimized considering the loss of power supply probability (LPSP) and the life cycle cost (LCC). After the solar irradiance and ambient temperature of a typical sunny day in the test area are given, the optimal combination of the PV module and battery is obtained. The optimal sizing result is verified using the PV power, state of charge (SOC), and load power. The presented optimal sizing method is also compared with an existing method. Besides, the operation test of the sprinkler irrigation machine is also carried out to verify the optimal sizing result. The optimal sizing result is proved to be effective and applicable.

Suggested Citation

  • 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.
  • Handle: RePEc:hin:jnlmpe:6133969
    DOI: 10.1155/2022/6133969
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/6133969.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/6133969.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/6133969?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pardo, M.A. & Navarro-González, F.J., 2024. "Sizing and scheduling optimisation method for off-grid battery photovoltaic irrigation networks," Renewable Energy, Elsevier, vol. 221(C).
    2. Fernando García-Muñoz & Miguel Alfaro & Guillermo Fuertes & Manuel Vargas, 2022. "DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery System," Energies, MDPI, vol. 15(12), pages 1-16, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:6133969. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.