Accuracy improvement of impedance-based fault location method for power distribution network using distributed-parameter line model

2012 ◽  
Vol 24 (3) ◽  
pp. 318-334 ◽  
Author(s):  
Rahman Dashti ◽  
Javad Sadeh
Keyword(s):  
Power Distribution ◽  
Fault Location ◽  
Distribution Network ◽  
Distributed Parameter ◽  
Power Distribution Network ◽  
Accuracy Improvement ◽  
Line Model ◽  
Location Method

Research on Single-Phase Grounding Fault in Distribution Networks with a DC Power Positioning Method

2014 ◽  
Vol 530-531 ◽  
pp. 353-356
Author(s):  
Run Sheng Li
Keyword(s):  
Power Distribution ◽  
Single Phase ◽  
Distribution Network ◽  
Distribution Networks ◽  
Power Distribution Network ◽  
Power Outage ◽  
Location Method ◽  
Fault Resistance ◽  
Ground Fault ◽  
Positioning Method

Due to the high ground fault resistance and the complexity of power distribution network structure (such as too many nodes, branches and too long lines), adopting common traveling wave method and ac injection method can not effectively locate the single-phase grounding fault in the distribution network system.To solve above problems and determine the position of the point of failure prisely, this paper adopted the dc location method of injecting the dc signal from the point of failure under the power outage offline. This paper introduces the single phase dc method and the method of three phase dc, and the simulation shows that the dc location method is effective and feasible.

scholarly journals Fault location method of active distribution network based on graph theory and matrix algorithm

2021 ◽  
Vol 2121 (1) ◽  
pp. 012035
Author(s):  
Yalei Li ◽  
Xiaohong Zhang
Keyword(s):  
Graph Theory ◽  
Power Supply ◽  
Power Distribution ◽  
Network Flow ◽  
Large Scale ◽  
Fault Location ◽  
Distribution Network ◽  
Location Method ◽  
Active Distribution Network ◽  
Network Fault

Abstract In view of the large scale distributed power distribution network, distribution network from the traditional single main transformer power supply system becomes more complex broken power supply network, the trend of the distribution network flow and network frame produced change, failure fault feature information of great change, the traditional distribution network fault location method can not accurately obtain the location of the fault zone, the low accuracy of fault location, the error bigger problem a new fault location method of active distribution network combining graph theory and matrix was proposed. According to the knowledge of graph theory, the distribution network is simplified to topology diagram and described in the form of matrix, and then the fault judgment matrix is obtained through a series of matrix addition operation, and the type of fault interval can be identified accurately and quickly by combining the fault criterion table. The simulation results show that this method is simple in principle, fast and effective in criterion, suitable for the flexible operation mode of active distribution network structure, can accurately and quickly determine the fault segment, and can meet the requirements of complex distribution network fault location.

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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