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利用模量传输时间差的特高压直流线路故障测距

陈仕龙 李建平 谢佳伟 毕贵红 罗璐

电力系统及其自动化学报2016,Vol.28Issue(8):20-24,5.
电力系统及其自动化学报2016,Vol.28Issue(8):20-24,5.DOI:10.3969/j.issn.1003-8930.2016.08.004

利用模量传输时间差的特高压直流线路故障测距

Single-ended Fault Location for UHVDC Transmission Line Based on Propagation Time Gap Between Zero and Aerial Mode

陈仕龙 1李建平 1谢佳伟 1毕贵红 1罗璐1

作者信息

  • 1. 昆明理工大学电力工程学院,昆明 650500
  • 折叠

摘要

Abstract

There is a nonlinear relationship between fault distance and the propagation time gap between zero mode and aerial mode,and back propagation(BP)neural network with the ability of nonlinear curve-fitting is selected to fit this re-lationship to realize fault location . The propagation time gap in different frequency bands of wavelet decomposition as inputs and the fault distance as outputs are used to train the neural network,and thus a faul location model using neural network is established. Simulation results indicate that the proposed single-ended fault location method useing neural network for ultra high voltage direct current(UHVDC)transmission line based on propagation time gap has higher accu-racies.

关键词

特高压直流/行波/神经网络/小波分解/故障测距

Key words

ultra high voltage direct current(UHVDC)/traveling wave/neural network/wavelet decomposition/fault location

分类

信息技术与安全科学

引用本文复制引用

陈仕龙,李建平,谢佳伟,毕贵红,罗璐..利用模量传输时间差的特高压直流线路故障测距[J].电力系统及其自动化学报,2016,28(8):20-24,5.

基金项目

国家自然科学基金资助项目(51267008) (51267008)

昆明理工大学校人培基金资助项目(kkz3201304019) (kkz3201304019)

电力系统及其自动化学报

OA北大核心CSCDCSTPCD

1003-8930

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