雷击线路电磁暂态响应干扰下电缆避雷器故障传感检测  被引量:2

Fault Sensing Detection of Cable Arrester Under Electromagnetic Transient Response Interference of Lightning Strike Line

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作  者:李敏 赵芳芳 孙山峰 洪焕华 陈敬 LI Min;ZHAO Fangfang;SUN Shanfeng;HONG Huanhua;CHEN Jing(State Grid Changsha Power Company,Changsha 410002,China;Zhongke Yungu Technology Co.,Ltd.,Changsha 410002,China)

机构地区:[1]国网长沙供电公司,湖南长沙410002 [2]中科云谷科技有限公司,湖南长沙410002

出  处:《传感器世界》2024年第2期17-21,共5页Sensor World

摘  要:交流输电电缆终端的避雷器故障特征与雷击线路电磁暂态过响应过程的信号及其类似。当前,从单端行波信息中的检测方法很难区分雷击特征与真实故障行波的特征,提出了一种雷击线路电磁暂态响应干扰下的电缆避雷器缺陷故障传感检测。利用传感器收集电缆避雷器的故障行波数据,分析出避雷器故障时,与雷击线路电磁暂态过响应不同,其初始行波的波头下降沿存在转折、突变或者后续存在振荡过程等。运用特征提取和选择技术,从大量的数据中提取出与这种故障模式相关的有效特征,建立相应的故障诊断方法,并通过训练和优化来实现准确的故障智能诊断。实验结果表明,所提方法能够有效地区分故障特征与雷击线路电磁暂态过响应特征,误差监测数值最大为0.148 mA,具有较好的可行性。The fault characteristics of lightning arrester of AC transmission cable terminal are similar to the signal of electromagnetic transient overresponse process of lightning line.At present,it is difficult to distinguish the lightning strike feature from the real fault traveling wave,so a defect fault sensing detection of cable arrester under the electromagnetic transient response of lightning strike line is proposed.The sensor is used to collect the fault traveling wave data of the cable arrester,and analyze the lightning arrester fault,different from the electromagnetic transient overresponse of the lightning line,there is a transition,mutation or subsequent oscillation process.Using feature extraction and selection techniques to extract effective features associated with this failure pattern from large amounts of data.Finally,the corresponding fault diagnosis method is established,and the accurate fault intelligence diagnosis is realized through training and optimization.Experimental results show that the proposed method can effectively distinguish the fault characteristics from the electromagnetic transient overresponse characteristics of the lightning line,and the maximum error monitoring value is 0.148 mA,which has good feasibility.

关 键 词:故障识别 电力电缆 输电线 避雷器 特征干扰 训练优化 

分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]

 

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