Arc Modeling and Kurtosis Detection of Fault with Arc in Power Distribution Networks

In power distribution networks, there are many practical fault cases such as high impedance faults, faults and so on. Especially when the faults with electric arc persist, it is dangerous for human beings and circumstances. Nevertheless, it is difficult to classify faults due to various customer loa...

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Bibliographic Details
Published in:Applied sciences 2022-03, Vol.12 (6), p.2777
Main Authors: Hyun, Seung-Yoon, Hong, Ji-Song, Yun, Sang-Yun, Kim, Chang-Hwan, Lee, Youngwoo
Format: Article
Language:English
Subjects:
Algorithms
arc modeling
Conductors
Design
Distributed generation
electric arc
Electric contacts
Electric power distribution
Energy resources
Energy sources
Experiments
fault
Fault detection
Faults
Gravel
High impedance
Kurtosis
kurtosis detection
Machine learning
Signal processing
Simulation
Waveform analysis
Wavelet transforms
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Summary:In power distribution networks, there are many practical fault cases such as high impedance faults, faults and so on. Especially when the faults with electric arc persist, it is dangerous for human beings and circumstances. Nevertheless, it is difficult to classify faults due to various customer load conditions or the presence of distributed energy resources. In this paper, we propose a new mathematical arc model based on experimental event data. For implementing the arc phenomenon, wet gravel was used as a contact conductor after the fault. The experimental results validate the arc transient model. Then, the simulations were performed to verify the success of arc modeling using Kizilcay’s arc model as a comparison method. Finally, we developed a fault detector using the kurtosis detection method, and power system simulations were conducted to evaluate fault detection performance using Matlab/Simulink.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12062777