基于小波变换和Prony算法的超高压线路的故障定位  

Fault location of EHV transmission line based on wavelet transform and Prony algorithm

作　　者：范桂有 FAN Guiyou(State Grid Fujian Electric Power Company,Fuzhou 350003,China)

机构地区：[1]国网福建省电力有限公司,福州350003

出　　处：《自动化与仪器仪表》2023年第8期56-60,共5页Automation & Instrumentation

基　　金：国家电网公司总部项目《基础设施-2020年平台服务(电网GIS地理信息平台)-设计开发》(300009470)。

摘　　要：超高压线路逐渐成为电力系统的骨干网络。为实现准确快速地判断出故障类型以及故障点位置,研究利用Prony算法对谐波进行检测分析,判断是否为异常波,进而对故障进行定位。在研究过程中发现Prony算法对噪声非常敏感,对检测结果产生极大影响,故使用小波变换(wavelet transform,WT)对信号进行去噪,并优化prony算法,由此设计了一种超高压线路故障定位方法。通过实验得到,算法的故障定位准确率为97.399%,绝对误差距离为0.085 km,能够实现实时准确的故障定位。Ultra-high voltage lines have gradually become the backbone network of the power system.In order to accurately and quickly determine the fault type and fault location,Prony algorithm is used to detect and analyze harmonics,judge whether it is abnormal wave,and then locate the fault.During the research,it was found that Prony algorithm was very sensitive to noise and had a great impact on the detection results.Therefore,wavelet transform(WT)was used to de-noise the signal,and the prony algorithm was optimized.Therefore,a fault location method for EHV lines was designed.The experimental results show that the accuracy of fault location of the algorithm is 97.399%,and the absolute error distance is 0.085 km,which can achieve real-time and accurate fault location.

关 键 词：小波变换 PRONY算法 超高压线路 故障定位 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置] TM75[自动化与计算机技术—控制科学与工程]