IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v283y2023ics0360544223025239.html
   My bibliography  Save this article

An efficient war strategy optimization reconfiguration method for improving the PV array generated power

Author

Listed:
  • Alharbi, Abdullah G.
  • Fathy, Ahmed
  • Rezk, Hegazy
  • Abdelkareem, Mohammad Ali
  • Olabi, A.G.

Abstract

Improving the photovoltaic (PV) array performance is a challenge especially during partial shade operation (PS), in such case the array power-voltage characteristic has multi-local peaks and one global power (GP) to be extracted. Dispersing the partial shade via relocating the shaded panels is a process named reconfiguration, it can increase the array generated power. Therefore, this paper proposes a new reconfiguration approach of war strategy optimization algorithm (WSO) to enhance the array generated power under different shade patterns by mitigating the absolute difference between the highest and lowest currents of each row in the array. The proposed approach has a good balance in exploration/exploitation phases that avoids falling in local optimal solution. The analysis is performed using a 9 × 9 array operated at long narrow (LN), short narrow (SN), long wide (LW), short wide (SW), and lower triangle (LT) shades. Also, comparison to reported methods of tie cross tied (TCT), Sudoku, and African vultures optimization algorithm (AVOA) in addition to other new approaches of dandelion optimizer (DO), dung beetle optimizer (DBO), artificial hummingbird algorithm (AHA), artificial gorilla troops optimizer (GTO), and artificial ecosystem optimizer (AEO) is conducted. Furthermore, statistical analysis of Friedman test, Wilcoxon sign rank, ANOVA table, and Kruskal Wallis test are implemented to evaluate the proposed WSO. The architecture obtained via the proposed WSO succeeded in achieving the best power enhancements of 71.16%, 61.87%, 82.92%, 80.17%, and 65.31% with respect to TCT arrangement for SW, LW, SN, LN, and LT patterns respectively. The fetched results proved the efficiency and robustness of WSO in augmenting the generated power from shaded PV array.

Suggested Citation

  • Alharbi, Abdullah G. & Fathy, Ahmed & Rezk, Hegazy & Abdelkareem, Mohammad Ali & Olabi, A.G., 2023. "An efficient war strategy optimization reconfiguration method for improving the PV array generated power," Energy, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223025239
    DOI: 10.1016/j.energy.2023.129129
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223025239
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129129?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:energy:v:283:y:2023:i:c:s0360544223025239. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.