A novel method for automatic generation of one-line diagram of distribution network with multiple feeders

2016 ◽  
Author(s):  
Wen Peng ◽  
Jiaojiao Wang
Keyword(s):  
Distribution Network ◽  
Automatic Generation ◽  
Line Diagram ◽  
Novel Method

scholarly journals Intelligent Fault Diagnosis in a Power Distribution Network

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Oluleke O. Babayomi ◽  
Peter O. Oluseyi
Keyword(s):  
Fault Diagnosis ◽  
Power Distribution ◽  
Fault Location ◽  
Distribution Network ◽  
Power Distribution Network ◽  
Double Line ◽  
Fault Type ◽  
Three Phase ◽  
Novel Method

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.

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