• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Guo, Moufa (Guo, Moufa.) [1] (Scholars:郭谋发) | Yan, Min (Yan, Min.) [2] | Chen, Bin (Chen, Bin.) [3] | Yang, Gengjie (Yang, Gengjie.) [4] (Scholars:杨耿杰)

Indexed by:

EI Scopus PKU CSCD

Abstract:

The waveform similarity of line zero-sequence currents after the single-phase grounding fault of resonance grounding system is analyzed based on its zero-sequence network and a method of faulty line selection based on the waveform feature clustering in the time domain is proposed for it. The line zero-sequence current waveform of the first post-fault half-period is decomposed in histograms and the relative entropy matrix is adopted to reflect the state difference among the zero-sequence currents, as well as their polarity information. Combined with the amplitude information, an integrated relative entropy matrix is established to represent the time-domain waveform feature of transient zero-sequence currents. The fuzzy KFCM (Kernel Fuzzy C-Means) without the threshold setting is used to detect the faulty line. The proposed method is verified by the simulations under different working conditions and the results show that, it is immune to the arc fault, noise disturbance, non-synchronized sampling and compensation degree. © 2015, Electric Power Automation Equipment Press. All right reserved.

Keyword:

Electric grounding Entropy Feature extraction Graphic methods Resonance Time domain analysis

Community:

  • [ 1 ] [Guo, Moufa]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Yan, Min]Fuzhou Power Supply Company of State Grid Fujian Electric Power Company, Fuzhou; 350003, China
  • [ 3 ] [Chen, Bin]Electric Power Research Institute of State Grid Fujian Electric Power Company, Fuzhou; 350007, China
  • [ 4 ] [Yang, Gengjie]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Electric Power Automation Equipment

ISSN: 1006-6047

CN: 32-1318/TM

Year: 2015

Issue: 11

Volume: 35

Page: 59-66 and 81

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Online/Total:548/9810310
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1