Intermittent Arc Fault Section Location in Power Distribution Network Using Distributed HFCT Disturbance Monitoring
Intermittent arcs in the distribution network have a random distribution and prominent high-frequency characteristics. This paper proposes innovatively using High-Frequency Current Transformers (HFCTs) installed distributedly in cable networks to capture waveforms of intermittent arc faults. Through...
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          | Published in | Proceedings - International Conference on Harmonics and Quality of Power pp. 535 - 540 | 
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| Main Authors | , , , | 
| Format | Conference Proceeding | 
| Language | English | 
| Published | 
            IEEE
    
        15.10.2024
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 2164-0610 | 
| DOI | 10.1109/ICHQP61174.2024.10768721 | 
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| Abstract | Intermittent arcs in the distribution network have a random distribution and prominent high-frequency characteristics. This paper proposes innovatively using High-Frequency Current Transformers (HFCTs) installed distributedly in cable networks to capture waveforms of intermittent arc faults. Through real HFCT experiments, the paper validates the effectiveness of HFCT in capturing high-frequency arc waveforms. Building upon experimental sampling results, the paper employs empirical mode decomposition (EMD) and the Teager energy operator (TEO) to decompose the filtered arc transient disturbance waveforms through HFCT, and proposes a method for arc section location based on transient disturbance energy and phase comparison. The method is tested on an IEEE 34-node distribution network, demonstrating that the proposed method can effectively localize intermittent arc faults in underground distribution networks. This paper significantly extends the utility value of HFCTs, providing new insights and monitoring schemes for early fault detection in underground cable networks. | 
    
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| AbstractList | Intermittent arcs in the distribution network have a random distribution and prominent high-frequency characteristics. This paper proposes innovatively using High-Frequency Current Transformers (HFCTs) installed distributedly in cable networks to capture waveforms of intermittent arc faults. Through real HFCT experiments, the paper validates the effectiveness of HFCT in capturing high-frequency arc waveforms. Building upon experimental sampling results, the paper employs empirical mode decomposition (EMD) and the Teager energy operator (TEO) to decompose the filtered arc transient disturbance waveforms through HFCT, and proposes a method for arc section location based on transient disturbance energy and phase comparison. The method is tested on an IEEE 34-node distribution network, demonstrating that the proposed method can effectively localize intermittent arc faults in underground distribution networks. This paper significantly extends the utility value of HFCTs, providing new insights and monitoring schemes for early fault detection in underground cable networks. | 
    
| Author | Zhou, Xinyue Zhong, Yupeng Wu, Kongyao Li, Lulu  | 
    
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| Snippet | Intermittent arcs in the distribution network have a random distribution and prominent high-frequency characteristics. This paper proposes innovatively using... | 
    
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| SubjectTerms | distribution network Distribution networks Harmonic analysis HFCT High frequency intermittent arc Monitoring Noise Noise level Power cables Power harmonic filters Resistance section location Transient analysis transient disturbance  | 
    
| Title | Intermittent Arc Fault Section Location in Power Distribution Network Using Distributed HFCT Disturbance Monitoring | 
    
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