A New Algorithm for T-Line Fault Location Based on Wavelet Energy Spectrum

投稿的翻译标题: 基于小波能量谱的T型线路故障定位新算法

Mei Wang, Liang Zhu, Guoqiang Zhang, Liang Wang, Chi Liu

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

Considering the fault dead time problem of transmission lines with T type branches, a new algorithm based on wavelet energy spectrum for T transmission line location is proposed to achieve fault precision location. The cubic B-spline algorithm of wavelet transform modulus maxima is applied to extract the fault feature. In the non-dead zone, the three-terminal location method is used to accurately complete the fault location. In the dead time range, the wavelet energy spectrum algorithm judges the fault branch, and then the three terminal fault location method is used to complete the fault location. The simulation results show that the proposed method can meet the requirements of T-line fault location. The algorithm proposed in this paper is not only affected by the fault type and transition impedance, but also appropriate to solve the difficult problem of measuring the blind area in an O area.

投稿的翻译标题基于小波能量谱的T型线路故障定位新算法
源语言英语
页(从-至)479-485
页数7
期刊Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
38
3
DOI
出版状态已出版 - 1 6月 2018
已对外发布

指纹

探究 '基于小波能量谱的T型线路故障定位新算法' 的科研主题。它们共同构成独一无二的指纹。

引用此