A new neural network approach for fault location of distribution network

Author

Feng Yan ; Wenxuan Liu ; Lin Tian

Author_Institution

Electr. Eng. Dept., North China Electr. Power Univ., Baoding, China

fYear

2011

fDate

19-22 Aug. 2011

Firstpage

1344

Lastpage

1347

Abstract

On the basis of analysis on the characteristics of single phase grounding fault occurred in small current neutral grounding system, a fault location method using Learn Vector Quantization Neural Network is put forward. Combined LVQ Neural Network with C-type of traveling wave location method, the purpose of precise location can be achieved. A classical BP (Back-Propagation) Neural Network has been developed to solve the same problem for comparison. The simulation results of ATP-EMTP and MATLAB show that the LVQ Neural Network is quite effective and superior to BP Neural Network in fault location.

Keywords

EMTP; backpropagation; earthing; fault currents; fault location; neural nets; power distribution faults; vector quantisation; ATP-EMTP; BP neural network; LVQ neural network approach; MATLAB; backpropagation; current neutral grounding system; distribution network; fault location; grounding fault; learn vector quantization; traveling wave location method; Biological neural networks; Fault location; Grounding; MATLAB; Neurons; Training; C-type of traveling wave location method; Distribution Network; Fault Location; LVQ Neural Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on

Conference_Location

Jilin

Print_ISBN

978-1-61284-719-1

Type

conf

DOI

10.1109/MEC.2011.6025718

Filename

6025718