基于气体组分分析的GIS金属性过热故障程度图像化判别方法

康宁1; 董宏宇1; 缪刚1; 塔伊尔江·巴合依1; 卡里哈尔·安尼万别克1; 曾红刚1; 钟理鹏2; 胡玉柱2

基于气体组分分析的GIS金属性过热故障程度图像化判别方法

引用本文：康宁1，董宏宇1, 缪刚1，塔伊尔江·巴合依1，卡里哈尔·安尼万别克1，曾红刚1，钟理鹏2，胡玉柱2.基于气体组分分析的GIS金属性过热故障程度图像化判别方法[J].计算技术与自动化,2023,(3):32-38

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作者	单位
康宁1，董宏宇1, 缪刚1，塔伊尔江·巴合依1，卡里哈尔·安尼万别克1，曾红刚1，钟理鹏2，胡玉柱2	（１.国网新疆电力有限公司乌鲁木齐供电公司，新疆维吾尔自治区乌鲁木齐 830011 ２.湖南大学电气与信息工程学院，湖南长沙 410082）

中文摘要:接触不良等问题造成的过热缺陷是引起GIS故障的主要原因之一，威胁设备安全运行。研究了利用气体分解法实现金属性过热故障严重程度评估。实验研究了不同程度过热故障下的SF6气体分解特性，分析了加热时间及气压对SF6分解产物的影响。结果显示：过热条件下的主要分解产物含量从高至低依次为：SO2、SOF2、SO2F2、CO2、CO、H2S、COS；产物含量随温度、气压升高呈增长趋势。此外，本文构建了以SO2、（SOF2+CO）和（SO2F2+H2S+CO2）为含量比值的三角诊断方法，可实现对金属性过热故障严重程度的图像化判别，进而提高对设备故障的识别效率。

中文关键词:SF6 金属性过热三角诊断

Pictorial Discrimination of Metallic Overheating Fault Degree in GIS Based on Gas Component Analysis

Abstract:Overheating defects caused by problems such as poor contact are one of the main causes of GIS failures, threatening the safe operation of the equipment. This paper investigates the implementation of a metallic overheating fault severity assessment using the gas decomposition method. Experimental study of SF6 gas decomposition characteristics under different degrees of overheating faults were conducted, and the effect of heating time and barometric pressure are analyzed. The results show that the main decomposition products under overheating conditions are SO2, SOF2, SO2F2, CO2, CO, H2S, COS, in descending order of content. The product content tends to increase with increasing temperature and barometric pressure. In addition, this paper constructs a triangular diagnosis method with SO2, (SOF2+CO) and (SO2F2+H2S+CO2) as content ratios. This allows for effective identification of metallic overheating faults in terms of severity, thus improving the efficiency of equipment fault identification.

keywords:SF6 metallicity overheating triangle diagnosis

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