交流XLPE电缆典型绝缘缺陷的PD特性与类型识别  

Partial Discharge Characteristics and Type Identification of Typical Insulation Defects of AC XLPE Cables

作　　者：何若冰 陈佳[2] 朱劲松 杨旭[2] 姚雨杭 潘成 唐炬[3] HE Ruo-bing;CHEN Jia;ZHU Jin-song;YANG Xu;YAO Yu-hang;PAN Cheng;TANG Ju(Guangdong Power Grid Co.,Ltd,Yangjiang Power Supply Company,Yangjiang 529500,China;Wuhan Nari Limited Liability Company of State Grid Electric Power Research Institute,Wuhan 430074,China;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)

机构地区：[1]广东电网有限责任公司阳江供电公司,广东阳江529500 [2]国网电力科学研究院武汉南瑞有限责任公司,湖北武汉430074 [3]武汉大学电气与自动化学院,湖北武汉430072

出　　处：《电工电气》2020年第6期5-13,共9页Electrotechnics Electric

基　　金：广东电网有限责任公司科技项目(031700KK52170017)。

摘　　要：针对交联聚乙烯(XLPE)电缆及其附件常见的9种绝缘缺陷类型,制作了相应的缺陷模型,研究了9种缺陷在不同电压下的局部放电特性。发现不同缺陷的谱图形状、放电的相位分布等表现出不同特点,每种缺陷的放电重复率与平均放电量均随着电压的升高而增大,其中气隙缺陷的最大放电量和放电重复率高于其他缺陷,电树枝缺陷的放电重复率最低。对不同缺陷的局部放电谱图进行了特征量提取,并利用基于L-M算法的BP神经网络,实现了故障类型的识别,最低识别率达到89.17%,取得了较好的识别效果。This paper aims at the nine types of insulation defects of AC XLPE cables and accessories,corresponding defect models were made,and the partial discharge characteristics of nine defects at different voltages were studied.It was found that the shape of the spectrum of different defects and the phase distribution of the discharge have different characteristics.The discharge repetition rate and average dis-charge of each defect increased with the increasing voltage.Among them,the maximum discharge amount and discharge repetition rate of insulation cavity defects were higher than other defects,and the discharge repetition rate of electrical tree defects was the lowest.Feature quantities were extracted from the partial discharge spectra of different defects,and the BP neural network based on the L-M algorithm was used to realize the fault type identification.The minimum recognition rate was 89.17%,and a good recognition effect was achieved.

关 键 词：交联聚乙烯(XLPE)电缆 附件 交流电压 绝缘缺陷 局部放电 故障识别 

分 类 号：TM247[一般工业技术—材料科学与工程] TM855[电气工程—电工理论与新技术]