Evaluation method of contact state of GIS disconnector based on multi-feature fusion

LI Xianfeng; HU Chengang; GAO Zhenyu; CHEN Zhonghua; CHEN Feng; NI Chenchen; YAN Luyang

doi:10.19666/j.rlfd.202208205

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Evaluation method of contact state of GIS disconnector based on multi-feature fusion

更新时间：2025-09-28

- Evaluation method of contact state of GIS disconnector based on multi-feature fusion
- Thermal Power Generation Vol. 52, Issue 5, Pages: 22-28(2023)
- 作者机构：
  
  1. 杭州市电力设计院有限公司
  2. 西安交通大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202208205
  CLC： TM595;TM564.1
- Published：2023
- 稿件说明：
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LI Xianfeng, HU Chengang, GAO Zhenyu, et al. Evaluation method of contact state of GIS disconnector based on multi-feature fusion[J]. Thermal power generation, 2023, 52(5): 22-28.
DOI：

LI Xianfeng, HU Chengang, GAO Zhenyu, et al. Evaluation method of contact state of GIS disconnector based on multi-feature fusion[J]. Thermal power generation, 2023, 52(5): 22-28. DOI： 10.19666/j.rlfd.202208205.

摘要

现有气体绝缘开关（GIS）的隔离开关接触状态评估方法依据状态特征量单一，评估结果可靠性低，易出现误判漏判等情况。基于此，提出一种基于多特征融合的GIS隔离开关接触状态评估方法。搭建220 kV GIS隔离开关多状态量综合检测实验平台，实验研究了GIS隔离开关外壳温度信号、外壳振动信号及局部放电信号与隔离开关接触状态之间的关系。在此基础上，将GIS隔离开关外壳温升、外壳振动信号振幅及局部放电特高频信号放电幅值作为隔离开关状态特征量，建立基于支持向量机的隔离开关接触状态评估模型。对该状态评估模型进行测试，结果表明基于多特征融合的GIS隔离开关接触状态评估方法准确率最高，可达到92.92%。

Abstract

The existing GIS disconnector contact state evaluation method is based on the single state characteristic quantity

the reliability of the evaluation result is low

and it is easy to misjudge and erroneous judgment. So a method of GIS disconnector contact state evaluation based on multi-feature fusion was presented. The multi state quantity comprehensive detection experimental platform of 220 k V GIS disconnector was built. And the relationships between the GIS disconnector shell temperature signal

shell vibration signal

partial discharge signal and the contact state of the disconnector were experimentally studied. On this basis

the temperature rise of GIS disconnector shell

the amplitude of shell vibration signal and the discharge amplitude of partial discharge UHF signal were taken as the state characteristic quantities of disconnector

and the contact state evaluation model of disconnector based on support vector machine was established. The test results show that the accuracy of GIS disconnector contact state evaluation method based on multi-feature fusion is the highest

can reach 92.92%.

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