电气工程学报 ›› 2020, Vol. 15 ›› Issue (4): 18-26.doi: 10.11985/2020.04.002

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基于Hilbert-Huang变换的配电馈线接地故障测距 *

王艳松1(), 徐海亮1, 衣京波2, 梁硕1   

  1. 1.中国石油大学(华东)新能源学院 青岛 266580
    2.胜利石油管理局胜利发电厂 东营 257087
  • 收稿日期:2020-08-21 修回日期:2020-11-12 出版日期:2020-12-25 发布日期:2020-12-25
  • 作者简介:王艳松,女,1965年生,博士,教授。主要研究方向为配电网故障定位、能源网协同调度与规划、电能质量分析与谐波治理。E-mail: wys91517@163.com
  • 基金资助:
    *国家重点研发计划资助项目(2018YFB0904800)

Distribution Feeder Grounding Fault Location Based on Hilbert-Huang Transform

WANG Yansong1(), XU Hailiang1, YI Jingbo2, LIANG Shuo1   

  1. 1. College of New Energy, China University of Petroleum (East China), Qingdao 266580
    2. Shengli Power Plant, Shengli Petroleum Administration, Dongying 257087
  • Received:2020-08-21 Revised:2020-11-12 Online:2020-12-25 Published:2020-12-25

摘要:

快速、准确地定位配电线路故障点对提高供电可靠性、实现智能电网具有重要的意义。提出一种新的接地故障行波信号时频分析方法,对故障电流的线模分量和零模分量进行经验模态分解(Empirical mode decomposition, EMD),得到多阶平稳的固有模态函数(Intrinsic mode function, IMF),第一阶IMF含有较高的频率分量,能反映信号的突变,对第一阶IMF进行Hilbert-Huang变换,得到信号的瞬时频率。由时频图中的瞬时频率检测出行波波头的到达时刻,通过线模和零模波头之间的时间差计算出故障距离。仿真分析表明,该算法能准确检测故障距离,不受接地过渡电阻、短路时刻的影响。

关键词: 配电馈线, Hilbert-Huang变换, 行波, 故障测距, 接地故障

Abstract:

It is of great significance for power supply reliability and smart grid to locate the point of failure on distribution lines quickly and accurately. A new ground fault traveling-wave signal time-frequency analysis method is put forward. It decomposes the line mode component and zero mode component of fault current based on empirical mode decomposition (EMD) to get multi-stage stable intrinsic mode function (IMF). The first IMF contains more frequency components which can reflect the mutation of signal. Transform the first IMF with Hilbert-Huang transformation to get the instantaneous frequency of signal. And then check the moment when the head wave of traveling wave arrived using the instantaneous frequency in the fig of time-frequency. Account the fault distance based on the time difference between the moment of head wave arrived of line mode component and zero mode component. Simulation analysis proves that this method is able to accurately account the distance of fault in the influence of the random factors such as fault transition resistance and the moment of fault.

Key words: Distribution feeder, Hilbert-Huang transformation, traveling wave, fault location, ground fault

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