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基于行波时频特征的单端故障测距方法
引用本文:林圣,何正友,陈鉴,李小鹏,钱清泉.基于行波时频特征的单端故障测距方法[J].电网技术,2012,36(1):258-264.
作者姓名:林圣  何正友  陈鉴  李小鹏  钱清泉
作者单位:西南交通大学电气工程学院,四川省成都市,610031
基金项目:国家自然科学基金,中央高校基本科研业务专项资金资助项目
摘    要:行波波速度的确定及故障行波波头到达时刻的标定是影响行波测距精度的主要因素。在考虑线路参数频变特性对行波传播特性的影响的基础上,提出基于行波时频特征的单端测距方法:利用行波信号的利普希茨(Lipschitz)指数将行波信号的时频特性联系起来,运用最小二乘法拟合检测到的第2个行波波头的Lipschitz指数,并据此确定故障...

关 键 词:时频特征  行波  故障测距  Lipschitz指数  小波变换

A Single Terminal Fault Location Method Based on Time-Frequency Characteristic of Traveling Wave
LIN Sheng,HE Zhengyou,CHEN Jian,LI Xiaopeng,QIAN Qingquan.A Single Terminal Fault Location Method Based on Time-Frequency Characteristic of Traveling Wave[J].Power System Technology,2012,36(1):258-264.
Authors:LIN Sheng  HE Zhengyou  CHEN Jian  LI Xiaopeng  QIAN Qingquan
Affiliation:(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,Sichuan Province,China)
Abstract:There are two main factors influencing the accuracy of traveling wave fault location,namely the determination of traveling wave velocity and the demarcation of the time when the wavefront of fault traveling wave arrives.On the basis of considering the impact of frequency-varying feature of parameters of transmission line on propagation characteristic of traveling wave,a single-terminal fault location method based on the time-frequency characteristics of traveling wave is proposed: firstly,the time characteristic of traveling wave’s wavefront is linked with its frequency characteristic by Lipschits exponent of traveling wave signal;then by use of least squares method the Lipschits exponent of the detected second wavefront of traveling wave is fitted;finally,according to fitting result,the frequency components of fault traveling wave and the time when it arrives are determined,thus the fault distance can be calculated.Simulation results of EMTDC show that using the proposed fault location method,the accuracy of fault location is evidently higher than that by traditional traveling wave fault location methods,and the location accuracy is not affected by fault distance,fault resistance,fault inception angle and fault type,besides,the proposed method can well adapt to both transposed and untransposed lines.
Keywords:time-frequency characteristics  traveling wave  fault location  Lipschitz exponent  wavelet transform
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