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During the long-term operation of 220 kV surge arresters, faults often occur, with internal moisture being the most frequent cause of failure. Therefore, it is essential to establish a comprehensive simulation model for the 220 kV surge arrester to study the potential distribution of the resistor element under moist conditions. First, a complete 3D simulation model of the 220 kV surge arrester is established based on the physical prototype, and the potential distribution under normal operating conditions is calculated to verify the model’s validity. Next, the potential distribution of the surge arrester under internal moisture conditions is investigated, and the effects of different moisture locations and moisture levels on the voltage sharing distribution of the resistor element are analyzed. Finally, through electrostatic field theory analysis, the rationality of the simulation results is validated.

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Contribution Title the Potential Distribution Calculation of a 220 kV Metal Oxide Surge Arrester Under Moist Conditions Based on Finite Element Simulation

  • 会议论文

  • 发表日期：

    2026年

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  • Ying Yan,
  • Lipeng Zhong,
  • Kun Liang,
  • Zixin Guo,
  • Zhenming Cai,
  • Zhijie Tang

摘要

During the long-term operation of 220 kV surge arresters, faults often occur, with internal moisture being the most frequent cause of failure. Therefore, it is essential to establish a comprehensive simulation model for the 220 kV surge arrester to study the potential distribution of the resistor element under moist conditions. First, a complete 3D simulation model of the 220 kV surge arrester is established based on the physical prototype, and the potential distribution under normal operating conditions is calculated to verify the model’s validity. Next, the potential distribution of the surge arrester under internal moisture conditions is investigated, and the effects of different moisture locations and moisture levels on the voltage sharing distribution of the resistor element are analyzed. Finally, through electrostatic field theory analysis, the rationality of the simulation results is validated.