基于小波变换和自相关分析的电力电缆故障测距  

Cable fault location based on wavelet transform and autocorrelation analysis

作　　者：王星海[1] 许珉[1] 谢志棠[2] 王钰 

机构地区：[1]郑州大学电气工程学院,河南郑州450002 [2]香港理工大学电机系 [3]郑州市电业局,河南郑州450053

出　　处：《继电器》2005年第12期32-35,47,共5页Relay

摘　　要：随着电力电缆应用的增多,对电缆故障测距的精度要求也不断提高。文中分析了行波法故障测距存在误差的原因,在此基础上引入小波变换和自相关分析。运用小波变换进行信号滤波和奇异性检测,运用自相关分析为前者提供约束条件,从而实现故障的自动精确测距,并给出了实现该程序的流程图。试验结果表明,此方法可取得较高的故障测距精度。With the increasing of power cable application in transmission and distribution system, the higher demand to cable fault location accuracy is necessary. The error for cable location used in the traditional impulse-flesh experiment is analyzed and wavelet transform and autocorrelation analysis are introduced into the traditional impulse-flesh experiment in this paper. Signal filtration and singularity detection can be realized by wavelet transform, restriction can be achieved through autocorrelation analysis. Furthermore, the principle of automatic fault location and the flow chart of program can be realized by the method presented previously. The result of real experiment shows that the method has enough accuracy of power cable fault location.

关 键 词：电力电缆 故障测距 小波变换 自相关分析 

分 类 号：TM75[电气工程—电力系统及自动化]