Title :
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
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;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025718