摘要
SF6充气类电气设备具有结构紧凑、电气性能稳定、灭弧能力强和运行安全可靠等优点,现已被广泛地应用于超特高压电力系统中。当SF6充气类电气设备发生隐患或故障时,设备内部的局部放电或者过热使SF6气体发生分解并生成多种分解产物。通过对反应生成的SF6气体分解产物进行定性定量分析,可以推断出电气设备潜在的绝缘隐患或者故障,对保障设备和电网的稳定运行具有重要意义。着重介绍了7种常用的SF6气体分解气体检测技术,主要包括了气相色谱法、质谱法、红外光谱法、电化学传感器法、气体检测管法、离子迁移谱法、碳纳米管传感器,分析各种检测方法的测试原理,并对比归纳不同检测技术的优缺点及应用场合。结果表明,基于不同检测技术的优缺点和应用场合,在实际应用中可选择多种方法联合检测,发挥不同检测方法的优势,以实现更加准确可靠对SF6气体分解产物组分情况的定性定量分析。
The SF6 gas-insulated electrical equipment has many advantages,including compact structure,stable insulation performance,strong flow-breaking ability,reliable operation and so on,so that it has been widely used in the high voltage and extra high voltage power systems.Partial discharge and local heating could occur in the electrical equipment because of insulation faults,which further results in SF6 decompensating and finally generating several kinds of SF6 decomposition products.These SF6 decomposition products can be qualitatively and quantitatively detected by using relevant detection methods,which contributes to deducing internal faults and security risks of the equipment.This paper mainly introduces seven common detection methods for detecting SF6 gas decomposition products,including gas chromatography,mass spectrometry,infrared spectroscopy,electrochemical sensor,gas detector tube,ion mobility spectrometry and carbon nanotube.The principles of different SF6 gas decomposition products detection methods are firstly analyzed,and the advantages and disadvantages of these methods are compared in order to select the appropriate detection method under different application conditions.To more accurately and reliably analyze the SF6 decomposition products,we can choose a joint detection based on the advantages of several detection methods,such as GC-MS joint detection for laboratory analysis of IR-ES joint detection for online detection.
作者
窦小晶
叶日新
付纪华
任明
DOU Xiaojing;YE Rixin;FU Jihua;REN Ming(State Grid Shaanxi Electric Power Company,Xi’an 710048,Shaanxi,China;Xi’an Jiaotong University,Xi’an 710048,Shaanxi,China)
出处
《电网与清洁能源》
2019年第7期24-31,共8页
Power System and Clean Energy
基金
国家自然科学基金面上项目(51877171)~~
关键词
SF6气体分解产物
检测方法
测试原理
应用场合
SF6 decomposition products
detection method
test principle
application condition