自取电的电缆故障类型及故障分段定位的研究  

Research on Fault Types and Fault Segment Location of Self-feeding Cable

作　　者：张晓新 董灵斌 林峰 王宇鹏 ZHANG Xiaoxin;DONG Lingbin;LIN Feng;WANG Yupeng(College of Electronics and Information Engineering,Shenyang Aerospace University,Shenyang 110136,China)

机构地区：[1]沈阳航空航天大学电子信息工程学院,沈阳110136

出　　处：《高压电器》2024年第11期116-122,共7页High Voltage Apparatus

基　　金：辽宁省教育厅重点攻关项目(JYT19008)。

摘　　要：针对配电网电缆故障产生的机理,使用MATLAB/Simulink对配电网电缆的故障类型进行实验分析,得出故障类型的特征,通过这些特征判断电缆故障类型,并且定位故障发生的区间段。在电缆发生故障时,对故障信号采样分析,并将故障类型及模块地址通过NB-IoT上传至OneNET云平台。故障段电缆与无故障段电缆的电流变化不同,根据这个规律可以快速定位故障段。该系统采用线圈取电,解决了该装置实际应用的供电问题。结果表明,系统通过对故障信号的采集和处理,准确地判断故障类型和定位故障段,完成故障的在线监测和定位。As for the generating mechanism of fault of cable in distribution network,the fault type of cable in distribution network is experimentally analyzed by using MATLAB/Simulink and the characteristics of type of the fault is obtained.Through these characteristics,the type of fault of cable can be judged,and the fault section can be located.In case of fault of cable,the fault signal is sampled and analyzed and the type of fault and module address are uploaded to OneNET cloud platform through NB-IoT.The current variation in the fault section of cable is different from that in the healthy section of the cable,and the fault section can be located quickly in accordance with this rule.The system uses coil to get power,which solves the problem of power supply in practical application.The results show that the system can accurately judge the type of fault and locate the fault section by collecting and processing the fault signal,and complete the online monitoring and positioning of the fault.

关 键 词：故障点 电缆故障 配电网 NB-IoT 在线监测 线圈取电 故障信号 

分 类 号：TM247[一般工业技术—材料科学与工程]