基于机-热-电多参量信号特征的GIS隔离开关状态评估方法

Condition assessment method of GIS disconnector based on vibration-thermal-electrical multi-parameter signal characteristics

气体绝缘开关(gas insulated switchgear,GIS)设备中的隔离开关故障往往是机械、热、电气多物理量综合作用的结果,从微小缺陷发展至严重故障的过程中,会产生异常振动、温度、局部放电多种参量信号,同时测量并分析GIS隔离开关的多参量信息对于准确获取其运行状态具有重要意义。文中通过在实体220 kV GIS实验平台上模拟隔离开关最为常见的接触不良缺陷,研究不同接触状态时振动信号、温度变化和局部放电信号的演化规律,获得其与设备状态之间的对应关系,结合健康指数理论和改进层次分析法,提出基于多参量特征的GIS隔离开关综合评估方法。使用该方法开展现场测试,其检查结果与多参量综合评估方法的的分析结果相吻合。文中的研究为GIS隔离开关状态的带电检测提供了一种可行性较高的多参量融合分析新方法。

The disconnector fault in gas insulated switchgear(GIS)is commonly caused by the combined effects of mechanical,thermal,and electrical factors.Throughout the progression from defect development to a severe fault,various signals,including abnormal vibration,temperature changes,and partial discharge,are generated.The simultaneous measurement and analysis of multi-parameter information pertaining to the GIS disconnector are crucial for accurately determining its operating condition.This study focuses on simulating typical defects in a 220 kV GIS disconnector to investigate the evolution patterns of vibration signals,temperature variations,and partial discharge signals under different contact states.The aim is to establish the correlation between these signals and the condition of the GIS disconnector.Additionally,the study proposes a comprehensive evaluation method for GIS disconnector by incorporating the health index theory and an improved analytic hierarchy process.The proposed method is subsequently applied to practical GIS,demonstrating consistency between the identified fault and the analysis results obtained through the multi-parameter comprehensive evaluation approach.Overall,this research introduces a highly feasible new method for the detection of GIS disconnector conditions.