Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

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基于边端协同的配电网单相接地故障研判方案

来源:电工电气发布时间:2021-10-21 11:21 浏览次数:478

基于边端协同的配电网单相接地故障研判方案

秦海波1,汤同峰1,杜东威2,钱彬2,严晗1,于宙宙2
(1 国网江苏省电力有限公司淮安供电分公司,江苏 淮安 223002;
2 江苏深瑞汇阳能源科技有限公司,江苏 南京 211100)
 
    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 10 kV 配电网架空线路单相接地故障的精准研判和定位。
    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
    中图分类号:TM711 ;TM727     文献标识码:A     文章编号:1007-3175(2021)10-0044-05
 
Research and Judgment Scheme of Single-Phase Grounding Fault in
Distribution Network Based on Edge Terminal Cooperation
 
QIN Hai-bo1, TANG Tong-feng1, DU Dong-wei2, QIAN Bin2, YAN Han1, YU Zhou-zhou2
(1 Huai’an Power Supply Branch, State Grid Jiangsu Electric Power Co.,Ltd, Huai’an 223002, China;
2 Jiangsu Sunri Huiyang Energy Technology Co.,Ltd, Nanjing 211100, China)
 
    Abstract: 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.
    Key words: Distribution Internet of Things (D-IoT); edge computing FTU; fault indicator; edge terminal cooperation; multiple waveform recognition method
 
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