基于多源节点数据的环网柜放电故障识别  

Discharge fault identification of ring network cabinet based on multi-source node data

作　　者：王隽 WANG Jun(State Grid Hubei Electric Power Co.,Ltd.,Shennongjia Power Supply Company,Shennongjia Forestry District 442400,Hubei Province,China)

机构地区：[1]国网湖北省电力有限公司神农架供电公司,湖北神农架林区442400

出　　处：《信息技术》2024年第4期176-182,188,共8页Information Technology

摘　　要：通过识别环网柜的放电故障点,可以快速定位并解决问题,减少能源损失,提高系统的能源利用效率。为此,提出基于复合传感与多源多节点数据的环网柜放电故障点识别方法。布设多个环网柜传感数据测点,将设计的复合传感器安装在测点位置上,从高频电流、超声波和电磁矢量三个方面采集环网柜多源多节点传感数据,提取环网柜放电信号特征,得出放电故障点的位置和大小。与传统识别方法相比,优化设计方法的放电故障点位置和大小识别误差分别降低8.05m和0.035m^(2),由此证明优化设计方法具有更高的识别性能。By identifying the discharge fault point of the ring cabinet,the problem can be quickly located and solved,and the energy loss can be reduced,improving the energy utilization efficiency of the system.Therefore,a discharge fault point identification method for ring cabinet based on composite sensing and multi-source and multi-node data is proposed.A number of sensor data measuring points of ring network cabinet are arranged,and the designed composite sensor is installed at the measuring points.The multi-source and multi-node sensor data of ring network cabinet are collected from the three aspects,including high frequency current,ultrasonic wave and electromagnetic vector,and the discharge signal characteristics of ring network cabinet are extracted to obtain the location and size of discharge fault points.Compared with the traditional identification method,the fault location and size identification errors of the optimized design method are reduced by 8.05m and 0.035m^(2),respectively,which proves that the optimized design method has higher identification performance.

关 键 词：复合传感 多源多节点数据 环网柜 放电故障 故障点识别 

分 类 号：TM591[电气工程—电器]