摘要
针对目前工作中监测SF_6中SO_2、H_2S的浓度无法有效指导放电故障诊断的问题,首先,从SF_6在放电状况下分解的机制出发,分析不同放电类型下不同放电位置SF_6中可能产生的分解产物;提出利用特征值和特征物质种类诊断GIS设备放电类型和位置的方法,并在实际案例中得到验证。
In order to solve the problem that the concentration of SO2 and H2 S in SF6 can＇t be used as a reliable evidence to diagnose discharge fault in GIS equipment in some situation, we focus on the mechanism of SF6＇s cleavage under discharge and find out there are various SF6 cleavage products due to different types and places of discharge. A new method using the ratio of characteristic value and the type of characteristic molecule to determine the location and type of discharge has been developed. Finally, the proposed method is verified by practical case.
出处
《智能电网》
2016年第8期760-763,共4页
Smart Grid
