电气工程学报 ›› 2015, Vol. 10 ›› Issue (8): 29-34.

• 理论研究 • 上一篇    下一篇

基于改进EMD算法的小电流接地故障选线

王磊,骆玮,曹现峰   

  1. 安徽省新能源利用与节能重点实验室(合肥工业大学) 合肥 230009
  • 收稿日期:2015-03-24 出版日期:2015-08-25 发布日期:2015-08-25
  • 作者简介:王 磊 男 1978年生,博士,副教授,主要研究方向为分布式发电技术、电力系统自动化。|骆 玮 男 1991年生,硕士研究生,主要研究方向为电力系统自动化。

Fault Line Selection Based on Improved EMD Algorithm for Small Current Grounding System

Wang Lei,Luo Wei,Cao Xianfeng   

  1. Anhui New Energy Utilization and Energy Saving Laboratory Hefei University of Technology Hefei 230009 China
  • Received:2015-03-24 Online:2015-08-25 Published:2015-08-25

摘要:

小电流接地系统发生单相接地故障,故障电流暂态分量复杂、稳态分量不明显的特点为可靠选线带来困难。本文分析了小电流接地故障电流暂态分量特征,并提出一种基于改进EMD算法的小电流接地故障选线方法。EMD算法通过叠加电网特征高频信号解决了IMF模态混叠并可靠滤除了高频干扰。基于单相接地故障电流经改进EMD分解出的IMF在不同故障角下展现出不同的特征,分别利用故障时刻低频波形的单调性与线路故障特征能量作为判据进行小电流接地故障选线。基于Matlab/Simulink的配电网单相接地故障仿真验证了该选线方法的有效性。

关键词: 小电流接地系统, 故障选线, 改进EMD算法, 特征频带, 故障特征能量

Abstract:

As single-phase earth fault occurs in the small current grounding system, the complex transient and unconspicuous steady-state component of fault current bring certain difficulties for reliable fault line selection. The transient component characteristics of fault current in the small current grounding system are analyzed and a method about fault line selection based on improved EMD algorithm is put forward in this paper. The method of solving the IMF modal aliasing problems by overlaying the characteristic high frequency signal in EMD algorithm also reliable filter high frequency noise. It can be used in different fault time. In view of IMF which get by the improved EMD algorithm under different fault angle show different characteristics, the low frequency waveform monotonicity in the fault time and the fault characteristic energy can be used to determine the fault line. At last the effectiveness of the proposed fault line selection methods is verified by the simulation results of the single-phase earth fault in distribution network built in Matlab/Simulink.

Key words: Small current grounding system, fault line selection, improved EMD algorithm, characteristic frequency band, fault characteristic energy

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