基于分解组分分析的SF6设备绝缘故障诊断方法与技术的研究现状

摘要

With the gas insulated switchgear (GIS) equipment increasingly and widely used in each voltage levels, insulation fault of the GIS equipment will seriously endanger the safe operation of power system. The condition monitoring and fault diagnosis of GIS is an effective method to reduce failure rate and operational cost. This paper reviews the research status of SF6 insulation equipment fault diagnosis method and technology based on decomposed components analysis which is a research hotspot in the world, to promote the theory and technical progress of the field. On the basis of the analysis of gas-insulated equipment fault statistics at home and abroad, common insulation failure and its causes were introduced firstly. Then, from the point of SF6 decomposition process and mechanism, the fault diagnosis mechanism based on SF6 decomposed components was analyzed and SF6 fault decomposition characteristic products were emphatically commented. What’s more, research progress of fault diagnosis that regards decompose component ratio as characteristic quantity was summarized. Finally, combining with current research status and unsolved difficult problems, this paper points out the research points and development tendency of SF6 insulated equipment fault diagnosis method and technology based on decomposition component analysis.%随着全封闭式组合电器（GIS）设备在各电压等级中日益广泛应用，一旦发生绝缘故障将严重危及电力系统的安全运行，对GIS设备进行绝缘状态监测与故障诊断是降低其故障率和运维费用的有效手段之一。针对目前国内外研究热点，基于分解组分分析（DCA）的 SF6设备绝缘故障诊断方法与技术进行综述，以推动该领域的理论与技术进步。首先，在分析国内外气体绝缘装备故障统计的基础上，介绍常见的绝缘故障及其诱因；其次从引发 SF6气体分解过程及机制出发，分析基于 SF6分解组分的故障诊断原理，重点评述 SF6故障分解特征产物，并对以分解组分比值为特征量的故障诊断研究进展情况进行小结；最后结合当前研究现状和尚需解决的难点问题，指出基于分解组分分析的SF6设备绝缘故障诊断方法与技术的研究要点及发展趋势。