摘要
针对一些历史开关柜潜伏性故障诊断方法检测精度较低的问题,该研究设计了一种新型开关柜故障诊断系统,采用一种物理化学检测技术,通过分析六氟化硫(SF_(6))分解产物来检测开关柜故障原因,利用离子迁移法分析环境中的SF_(6)离子,进而掌握变电站开关柜中气体情况,通过差分能量检测算法对检测数据进行分析,计算出气体泄漏对变电站关柜的影响,制定出最优SF_(6)填充范围,为开关柜安全运行提供帮助;试验结果表明,该研究检测数据平均精度高,最高精度为92%,体现出该研究基于SF_(6)气体分解物理化学检测方法的优越性。
In view of the low detection accuracy of some historical switchgear latent fault diagnosis methods,a new switchgear fault diagnosis system is designed in this paper.A physicochemical detection technology is adopted to detect the cause of switchgear fault by analyzing the decomposition products of sulfur hexafluoride(SF_(6)),and the ion migration method is used to analyze the SF_(6)ions in the environment,so as to master the gas in the switchgear of the substation closing cabinet,The detection data are analyzed through the differential energy detection algorithm,the influence of gas leakage on the substation closing cabinet is calculated,and the optimal SF_(6)filling range is formulated to provide help to the safe operation of the switchgear.The experimental results show that the average accuracy of the detection data is high,and the maximum accuracy is up to 92%,which reflects the superiority of the physical and chemical detection method based on the SF6 gas decomposition.
作者
何明
佘乐欣
严铿博
袁帅
李思尧
汪明科
HE Ming;SHE Lexin;YAN Kengbo;YUAN Shuai;LI Siyao;WANG Mingke(Shenzhen Power Supply Bureau Co.,Ltd.Luohu Power Supply Bureau,Shenzhen 518000,Province)
出处
《计算机测量与控制》
2022年第9期54-59,共6页
Computer Measurement &Control
关键词
物理化学检测技术
开关柜
故障诊断
六氟化硫
差分能量检测算法
physicochemical detection technology
switch cabinet
fault diagnosis
sulfur hexafluoride
differential energy detection algorithm
