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Research on Three-Phase Unbalanced Commutation Strategy Based on the Spotted Hyena Optimizer Algorithm

Author

Listed:
  • Yi Zhang
  • XianBo Sun
  • Li Zhu
  • ShengXin Yang
  • YueFei Sun
  • Qingling Wang

Abstract

Aimed at that ubiquitous three-phase unbalance problem in low-voltage distribution networks, the spotted hyena optimizer (SHO) algorithm is used to optimize the commutation strategy of the three-phase load unbalance. A multitarget swapping mathematical model was designed, and the objective was quickly resolved by relying on the excellent commutation strategy of the SHO. Finally, a case analysis was carried out on the data of a station area in Enshi, Hubei Province, and the results verify this swapping strategy can effectively reduce the unbalance rate.

Suggested Citation

  • Yi Zhang & XianBo Sun & Li Zhu & ShengXin Yang & YueFei Sun & Qingling Wang, 2022. "Research on Three-Phase Unbalanced Commutation Strategy Based on the Spotted Hyena Optimizer Algorithm," Complexity, Hindawi, vol. 2022, pages 1-10, July.
    • Handle: RePEc:hin:complx:2092421
    DOI: 10.1155/2022/2092421
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    Cited by:

    1. Dazhao Liu & Zhe Liu & Ti Wang & Zhiguang Xie & Tingting He & Aixin Dai & Zhiqiang Chen, 2023. "A Novel Refined Regulation Method with Modified Genetic Commutation Algorithm to Reduce Three-Phase Imbalanced Ratio in Low-Voltage Distribution Networks," Energies, MDPI, vol. 16(23), pages 1-16, November.

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