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The distribution network demands low loss in new transformer gear like flexible loops. Given oil-immersed transformers’ inefficiencies, this paper uses advanced genetic algorithms for optimization, slashing design time. The optimized scheme outperforms the original, verified by fluid-thermal coupling tests. It meets standards, offers practical value, and addresses industry challenges, enhancing design efficiency and temperature balance.

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Optimization Design and Simulation Analysis of Temperature Field of Flexible Loop Transformer Based on Genetic Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • Hanyun Huang,
  • Xiaobin Mu,
  • Zhiyuan Cai,
  • Wei Bao,
  • Qian Feng,
  • Dongqi Zou,
  • Yanxin Ren,
  • Nana Duan

摘要

The distribution network demands low loss in new transformer gear like flexible loops. Given oil-immersed transformers’ inefficiencies, this paper uses advanced genetic algorithms for optimization, slashing design time. The optimized scheme outperforms the original, verified by fluid-thermal coupling tests. It meets standards, offers practical value, and addresses industry challenges, enhancing design efficiency and temperature balance.