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In the localization of partial discharge (PD) in Gas-Insulated Switchgear (GIS), traditional ultrasonic localization techniques, such as those based on time difference of arrival (TDOA) algorithms, face challenges due to insufficient noise resistance and high measurement accuracy requirements, making them inadequate for precise localization in complex environments. To address these limitations, this study proposes a GIS PD localization method based on ultrasonic time reversal (ATR) technology. A 3-D GIS model is constructed, and finite element simulations are conducted to investigate the focusing characteristics of ATR technology under various conditions. Results demonstrate that ATR technology achieves high-precision PD localization within the complex GIS structure, exhibits strong noise resistance, and significantly enhances localization robustness and accuracy. This method provides an effective solution for PD detection in complex electrical equipment, offering promising application prospects.

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High-Precision Localization Method for GIS Partial Discharge Sources in Complex Environments: Application of Ultrasonic Time Reversal Technology

  • 会议论文

  • 发表日期：

    2025年

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  • Yulun Chen,
  • Jing Yan,
  • Zhiyuan Liu,
  • Tianxin Zhuang,
  • Ke Zhao

摘要

In the localization of partial discharge (PD) in Gas-Insulated Switchgear (GIS), traditional ultrasonic localization techniques, such as those based on time difference of arrival (TDOA) algorithms, face challenges due to insufficient noise resistance and high measurement accuracy requirements, making them inadequate for precise localization in complex environments. To address these limitations, this study proposes a GIS PD localization method based on ultrasonic time reversal (ATR) technology. A 3-D GIS model is constructed, and finite element simulations are conducted to investigate the focusing characteristics of ATR technology under various conditions. Results demonstrate that ATR technology achieves high-precision PD localization within the complex GIS structure, exhibits strong noise resistance, and significantly enhances localization robustness and accuracy. This method provides an effective solution for PD detection in complex electrical equipment, offering promising application prospects.