Title :
Fault location for 10kV distribution line based on traveling wave-ANN theory
Author :
Yan, Feng ; Liu, Wenxuan ; Tian, Lin
Author_Institution :
Electr. Eng. Dept., North China Electr. Power Univ., Beijing, China
Abstract :
A new method is presented for accurate fault location on a distribution line with branches which integrates the C-type-traveling-wave location method with Artificial Neural Network (ANN). The aim is to improve the accuracy of fault location. There are two steps in the new fault location scheme. The first step is determining the fault distance accurately by C-type of traveling wave location method; the second one is locating the fault branch by ANN method. Both theoretical analyses and ATP simulation demonstrate the feasibility of this composite location method to determine the single phase grounding fault location accurately in the distribution network.
Keywords :
fault location; neural nets; power distribution faults; power distribution lines; ATP simulation; C-type-traveling-wave location method; artificial neural network; distribution line; distribution network; single phase grounding fault location; traveling wave-ANN theory; voltage 10 kV; Artificial neural networks; Biological neural networks; Educational institutions; Fault location; Grounding; Training; 10kV distribution line; Artificial Neural Network; fault location; travelling wave signal;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
DOI :
10.1109/PEAM.2011.6135094