摘要
通过检测六氟化硫(SF6)气体分解产物可有效发现SF6电气设备内部故障。在内部故障的早期阶段,由于吸附剂的吸附作用,设备内部SF6气体分解产物含量通常很低。受现场检测技术的限制,难以检测到这些痕量的气体分解产物,影响内部故障的早期诊断。本文研制了基于冷阱(CT)技术与光电子电离飞行时间质谱(PEI-TOF MS)技术联用的便携式检测系统,对典型SF6气体分解产物SO2、SO2F2的富集倍率分别为136倍和49倍,检出限分别达到0.01μL/L和0.1μL/L,为设备内部故障的早期诊断提供了一种有效的技术手段。
SF 6 gas insulated electrical equipment has been widely used in power gird for its fast installation,low space consuming,high reliability and low maintenance work.However,the partial charging inside of the equipment has significant impact on its insulating performance and can even lead to insulation breakdown.The internal fault of SF 6 gas insulated equipment can be found effectively through detection for decomposition products of SF 6 gas.In the early stage of internal fault,the decomposition products of SF 6 gas are usually in very low concentration due to the adsorption process by the adsorbents in the equipment.And these decomposition products with low concentration can be barely detected by the existing in situ detecting technique,which lead to the influence on early diagnosis.In this work,a portable device based on cold trap(CT)combined with photo-electron ionization time-of-flight mass spectrometry(PEI-TOF MS)was designed to provide a promising technique for detection of trace SF 6 gas decomposition such as SO2 and SO2F 2,which could be applied for early diagnosis of SF 6 gas insulated equipment.The workflow of enriching detection for trace SF 6 gas decomposition could be generally divided into four steps:preflushing,sampling,injection and aging.The trace amount of SO2 and SO2F 2 in SF 6 were enriched by adsorption and desorption process.Carbopack B and Carboxen-1000 were employed as adsorbent in this work.The enrichment ratios for typical decomposition products such as SO2 and SO2F 2 were 136 and 49 times,respectively.The detection limits for SO2 and SO2F 2 were 0.01 and 0.1μL/L,respectively.The suitcase CT-PEI-TOF MS has wide application prospect on establishing an early-warning for early diagnosis of SF 6 gas insulated equipment.
作者
刘陈瑶
韩方源
唐彬
罗宗昌
梁沁沁
朱立平
张洁明
LIU Chen-yao;HAN Fang-yuan;TANG Bin;LUO Zong-chang;LIANG Qin-qin;ZHU Li-ping;ZHANG Jie-ming(Electric Power Research Institute,Guangxi Power Grid Corporation,Nanning 530023,China)
出处
《质谱学报》
EI
CAS
CSCD
北大核心
2019年第6期510-517,共8页
Journal of Chinese Mass Spectrometry Society
基金
中国南方电网有限责任公司科技项目(GXKJXM20152027)资助
