scholarly journals An Innovative Minimum Hitting Set Algorithm for Model-Based Fault Diagnosis in Power Distribution Network

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 30683-30692 ◽  
Author(s):  
Qiujie Wang ◽  
Tao Jin ◽  
Mohamed A. Mohamed
Keyword(s):  
Fault Diagnosis ◽  
Power Distribution ◽  
Distribution Network ◽  
Power Distribution Network ◽  
Hitting Set ◽  
Model Based

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.

A New Search Algorithm of MBD Based on Spider Web and Its Application in Power Distribution Network Fault Diagnosis

2016 ◽  
Vol 25 (02) ◽  
pp. 1650002 ◽  
Author(s):  
Zhigang Liu ◽  
Chenxi Dai ◽  
Keting Hu ◽  
Shiyu He
Keyword(s):  
Fault Diagnosis ◽  
Power Distribution ◽  
Search Strategy ◽  
Search Algorithm ◽  
Distribution Network ◽  
Search Time ◽  
Power Distribution Network ◽  
Spider Web ◽  
Hitting Sets ◽  
Network Fault

To reduce the spatial complexity and search time of minimum hitting sets in model-based diagnosis (MBD), a new algorithm for searching minimum hitting sets of MBD is proposed in this paper, which can use the characteristics of minimum hitting sets and the idea of spider prey in biology. We call it cobweb search algorithm. In the algorithm, the generation of visit spiders and search strategy are proposed, and the visit spider that can find the visit path of cobweb to search all minimum hitting sets within a cobweb is constructed. Based on the experiment comparisons, Cobweb search algorithm has better performance than other algorithms of searching minimum hitting sets. As an example, a 14-node power distribution network model is constructed. The diagnosis process with MBD is introduced and analyzed in detail, at the same time the cobweb search algorithm is applied in power distribution network fault diagnosis. The experiment results verify the effectiveness and superiority of the proposed algorithm.

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