RESEARCH ON FAULT LOCATION OF POWER DISTRIBUTION NETWORK BASED ON FAULT DATA INFORMATION

2020 ◽  
Vol 79 (8) ◽  
pp. 713-722
Author(s):  
H. R. Li
2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Oluleke O. Babayomi ◽  
Peter O. Oluseyi

This paper presents a novel method of fault diagnosis by the use of fuzzy logic and neural network-based techniques for electric power fault detection, classification, and location in a power distribution network. A real network was used as a case study. The ten different types of line faults including single line-to-ground, line-to-line, double line-to-ground, and three-phase faults were investigated. The designed system has 89% accuracy for fault type identification. It also has 93% accuracy for fault location. The results indicate that the proposed technique is effective in detecting, classifying, and locating low impedance faults.


2018 ◽  
Vol 2018 (15) ◽  
pp. 1326-1329 ◽  
Author(s):  
Shenxing Shi ◽  
Aoyu Lei ◽  
Xin He ◽  
Sohrab Mirsaeidi ◽  
Xinzhou Dong

Sign in / Sign up

Export Citation Format

Share Document