摘要
针对常规故障指示器只能采集单相线路电气参数而造成单相接地故障判别算法受限的问题,提出了一种基于边缘计算FTU和故障指示器智能联动的多样本波形识别研判方案。将传统FTU升级为边缘计算FTU,取消故障指示器汇集单元,将故障指示器采集单元通过无线网络接入边缘计算FTU,并实现两者之间的广域同步。通过边缘计算FTU和故障指示器的边端协同,实现两者之间故障录波的数据融合,并借助于基于多样本波形的综合研判算法实现单相接地故障的准确检测,从而实现10kV配电网架空线路单相接地故障的精准研判和定位。
This paper presents a multi-sample waveform recognition scheme based on the intelligent linkage of edge computing FTU and fault indicator.This scheme might solve the problem that the conventional fault indicator can only collect the electrical parameters of the single-phase line,which causes the limitation of the single-phase ground fault discrimination algorithm.This research upgraded the traditional FTU to the edge computing FTU and canceled the fault indicator collection unit.It connected the fault indicator collection unit to the edge computing FTU by using the wireless network.It realized wide-area synchronization between them.This work realized the data fusion of the fault recorder between both of them with the cooperation of edge computing FTU and fault indicator’s edge terminal.This research achieved detection accuracy by using a comprehensive research algorithm.The single-phase ground faults on overhead lines of a 10 kV distribution network could be diagnosed and located.
作者
秦海波
汤同峰
杜东威
钱彬
严晗
于宙宙
QIN Hai-bo;TANG Tong-feng;DU Dong-wei;QIAN Bin;YAN Han;YU Zhou-zhou(Huai’an Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd,Huai’an 223002,China;Jiangsu Sunri Huiyang Energy Technology Co.,Ltd,Nanjing 211100,China)
出处
《电工电气》
2021年第10期44-48,共5页
Electrotechnics Electric
基金
国网江苏省电力有限公司科技项目(J2020140)。
关键词
配电物联网
边缘计算FTU
故障指示器
边端协同
多样本波形识别法
Distribution Internet of Things(D-IoT)
edge computing FTU
fault indicator
edge terminal cooperation
multiple waveform recognition method