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In this study, we introduce an advanced approach for assessing lightning positions in overhead distribution lines (OHLs) by integrating Monte Carlo methods and the Electric-Geometric Model (EGM). Unlike conventional probabilistic frameworks, our method incorporates crucial parameters such as lightning position and waveform characteristics, providing a more comprehensive and realistic evaluation of lightning protection strategies. The innovation's key strengths lie in its accuracy, realism, and applicability for risk assessment, offering valuable insights to enhance the reliability of overhead distribution line networks and minimize power failures resulting from lightning-induced faults.

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A Method for Evaluating the Probabilistic Distribution of Lightning Strike Locations for Overhead Distribution Line Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Xiaobing Xiao,
  • Song Zhang,
  • Yue Li,
  • Xiaomeng He,
  • Lei Jia,
  • Ruihan Qi,
  • Xinhao Li

摘要

In this study, we introduce an advanced approach for assessing lightning positions in overhead distribution lines (OHLs) by integrating Monte Carlo methods and the Electric-Geometric Model (EGM). Unlike conventional probabilistic frameworks, our method incorporates crucial parameters such as lightning position and waveform characteristics, providing a more comprehensive and realistic evaluation of lightning protection strategies. The innovation's key strengths lie in its accuracy, realism, and applicability for risk assessment, offering valuable insights to enhance the reliability of overhead distribution line networks and minimize power failures resulting from lightning-induced faults.