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<p>Gas-insulated transmission lines (GIL) are widely used in electric power systems due to their excellent insulation performance, high transmission capacity, and high reliability. Elucidating the diffusion characteristics of SF<sub>6</sub> decomposed gas in GIL is of great significance to realize the condition monitoring and fault diagnosis of GIL. In this study, based on the Computational Fluid Dynamics (CFD) method, the spatial and temporal distribution characteristics of the main decomposition components of SF<sub>6</sub>, SOF<sub>2</sub>, SO<sub>2</sub>F<sub>2</sub> and SO<sub>2</sub>, are systematically investigated in a typical GIL environment. The simulation results show that within 2000s of diffusion, the characteristic decomposition gases firstly form a significant concentration gradient above the fault point, which exhibits a distribution pattern of high concentration above and low concentration below. In addition, the diffusion coefficient, as a key parameter, significantly affects the diffusion behavior of different decomposition gases, leading to the differential concentration distribution characteristics of SOF<sub>2</sub>, SO<sub>2</sub>F<sub>2</sub> and SO<sub>2</sub> in the upper space of the equipment. This study provides an important theoretical basis for the diagnosis of GIL internal faults.</p>

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Diffusion characterization of SF6 decomposed gas in GIL based on computational fluid simulation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月19日

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  • Binghui Lei,
  • Lijiang Ma,
  • Yang Liu,
  • Mingtao Yu,
  • Shiyi Chen,
  • Zongzhen Yang,
  • Zuwei Guo,
  • Feng Wang

摘要

Gas-insulated transmission lines (GIL) are widely used in electric power systems due to their excellent insulation performance, high transmission capacity, and high reliability. Elucidating the diffusion characteristics of SF6 decomposed gas in GIL is of great significance to realize the condition monitoring and fault diagnosis of GIL. In this study, based on the Computational Fluid Dynamics (CFD) method, the spatial and temporal distribution characteristics of the main decomposition components of SF6, SOF2, SO2F2 and SO2, are systematically investigated in a typical GIL environment. The simulation results show that within 2000s of diffusion, the characteristic decomposition gases firstly form a significant concentration gradient above the fault point, which exhibits a distribution pattern of high concentration above and low concentration below. In addition, the diffusion coefficient, as a key parameter, significantly affects the diffusion behavior of different decomposition gases, leading to the differential concentration distribution characteristics of SOF2, SO2F2 and SO2 in the upper space of the equipment. This study provides an important theoretical basis for the diagnosis of GIL internal faults.