Method for Improving the Robustness of SF<sub>6</sub> Leakage Detection in Switchgear Insulation Gas

SU Xuhui; WANG Zhichuan; FANG Yuan; LI Xuxu; ZHANG Qi; SONG Ke; CHEN Cong; JIN Haiyong

doi:10.13296/j.1001-1609.hva.2026.03.005

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Method for Improving the Robustness of SF₆ Leakage Detection in Switchgear Insulation Gas

Research & Analysis | 更新时间：2026-03-11

- Method for Improving the Robustness of SF₆ Leakage Detection in Switchgear Insulation Gas
- High Voltage Apparatus Vol. 62, Issue 3, Pages: 29-38(2026)
- 作者机构：
  
  国网四川省电力公司阿坝供电公司，四川阿坝 623299
  国网四川省电力公司，成都 610041
  国网四川省电力公司映秀湾水力发电总厂，四川汶川 624000
  上海乐研电气有限公司，上海 201802
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2026.03.005
  CLC：
- Received：05 September 2025，
  
  Revised：2025-11-19，
  
  Published：16 March 2026
- 稿件说明：
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SU Xuhui, WANG Zhichuan, FANG Yuan, et al. Method for Improving the Robustness of SF₆ Leakage Detection in Switchgear Insulation Gas[J]. High Voltage Apparatus, 2026, 62(3): 29-38.
DOI：

SU Xuhui, WANG Zhichuan, FANG Yuan, et al. Method for Improving the Robustness of SF₆ Leakage Detection in Switchgear Insulation Gas[J]. High Voltage Apparatus, 2026, 62(3): 29-38. DOI： 10.13296/j.1001-1609.hva.2026.03.005.

摘要

气体由于其良好的绝缘和灭弧性能，被广泛用于高压电器设备中。在设备长期工作过程中，SF

气体的泄漏在所难免，这可能影响设备的安全运行。目前，SF

气体密度继电器多采用软测量模型进行设计，通过测量气室内SF

气体的温度和压力，并借助特定模型求解得到SF

气体密度。然而，压力传感器在长期使用过程中难免因老化而产生参数漂移，导致测得气体压力误差过大，进而影响该类软测量方法准确性，出现误判或漏判的现象。文中在深入分析常用的贝蒂—布里奇曼模型的基础上，通过线性回归并引入斜率及回归指标，提出了一种鲁棒性更高的SF

气体泄漏判定方法，介绍了其原理及技术实现关键点，并设计仿真实验，验证了该方法的性能。结果表明，该方法相较于传统方法受传感器精度影响较小，对气体泄漏更加敏感。该方法为高性能SF

气体密度继电器的研制提供了一种新思路，具有极高的实际应用价值。

Abstract

gas is widely used in high voltage apparatus due to its excellent insulation and arc extinguishing properties. During the long-term operation of the equipment

the leakage of SF

gas is inevitable

which may affect the safe operation of the equ

ipment. At present

gas density relays are mostly designed using a soft measurement model

the SF

gas density is obtained by measuring the temperature and pressure of SF

gas inside the gas compartment and also with help of specific model. However

the parameter drift of pressure sensor in long-term usage of the process is inevitable due to aging

resulting in excessive error of the the measured gas pressure and further affecting the accuracy of this type of soft measurement method as well as occurring the phenomenon of misjudgment or omission. In this paper

based on the in-depth analysis of the commonly used Beattie-Bridgeman model

a more robust SF

gas leakage state detection method is proposed by applying linear regression and the introduction of slope and regression indexes

its principle and key points of technical implementation are introduced

and the simulation experiments are designed to verify the performance of the method. The results show that the method is less affected by the accuracy of the sensor and more sensitive to gas leakage over the traditional method. The method provides a new idea for the development of high-performance SF

gas density relay and has a high practical application value.

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Keywords

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Method for Improving the Robustness of SF6 Leakage Detection in Switchgear Insulation Gas

DOI：10.13296/j.1001-1609.hva.2026.03.005

摘要

Abstract

关键词

Keywords

references

Method for Improving the Robustness of SF₆ Leakage Detection in Switchgear Insulation Gas