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文章摘要
基于行波固有频率和VMD的T型输电线路故障定位
A Fault Location Method Based on Traveling Wave Natural Frequencies and VMD for Teed-circuits
Received:May 14, 2016  Revised:July 03, 2016
DOI:
中文关键词: 故障定位  固有频率  VMD  T型线路
英文关键词: fault location, natural frequencies, VMD, Teed-circuits
基金项目:中央高校基本科研业务费专项资金资助项目(2014xs74).
Author NameAffiliationE-mail
Zhang Yuanyuan* North China Electric Power University(Baoding) zyyxwq0310@163.com 
Zhu Yongli North China Electric Power University(Baoding) 965363405@qq.com 
Zhang Ning North China Electric Power University(Baoding) 1552252959@qq.com 
Zhang Meng North China Electric Power University(Baoding) chengn652035800@qq.com 
Zheng Yanyan North China Electric Power University(Baoding) 542968499@qq.com 
Huang Xiaoyin Maintaining Department of Jibei Power Company 1285038100@qq.com 
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中文摘要:
      基于行波固有频率的输电线路故障定位不受波头检测和同步时钟的限制,具有较大的优势。线路发生故障时,故障行波在故障点以及母线端发生折反射,形成混叠的频率谱,使得固有频率主成分提取存在困难。基于此,本文提出一种基于行波固有频率和变分模态分解(VMD)的T型输电线路故障定位方法。首先应用VMD算法将故障行波分解为多个模态,便于固有频率主成分的提取;然后通过比较对应支路上检测到的故障点与T节点故障时固有频率的大小关系,确定故障区间;最后根据相应支路的边界条件计算出故障距离。该方法能够很好地克服频谱混叠的影响,并能准确快速的判定出故障区间。EMTDC仿真结果表明,该方法适应性强,定位精度高。
英文摘要:
      The fault location method based on natural frequency of traveling wave for transmission lines can accurately determine the fault position without identifying the wave front of traveling wave and is not restricted by synchronous clock, so it has great advantages. When fault occurs, the fault traveling wave will refract or reflect in fault point and bus bar. As a result, it is difficult to extract the principle component of natural frequency due to the frequency spectrum aliasing. Upon this foundation, a fault location method based on traveling wave natural frequency and VMD for teed-circuits is presented in this paper. First of all, in order to extract the principle component of natural frequency conveniently, series of intrinsic mode function components are obtained by VMD. Then by comparing the value of natural frequency component reflecting fault point and T node corre-spondingly, the fault interval will be determined. Finally, the fault distance is calculated corresponding the branch boundary conditions. This method can effectively overcome the influence of spectrum aliasing, and identify the fault interval quickly. EMTDC simulation results show that this method is adaptable and accurate.
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