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Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform
The further identification of fault types for single line-to-ground faults (SLGFs) in distribution networks is conducive to determining the cause of grounding faults and formulating targeted measures for hidden danger treatment and fault prevention. For the six types of SLGFs generated in the actual...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647234/ https://www.ncbi.nlm.nih.gov/pubmed/37960647 http://dx.doi.org/10.3390/s23218948 |
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author | Liu, Jiajun Li, Chenjing Liu, Yue Sun, Ji Lin, Haokun |
author_facet | Liu, Jiajun Li, Chenjing Liu, Yue Sun, Ji Lin, Haokun |
author_sort | Liu, Jiajun |
collection | PubMed |
description | The further identification of fault types for single line-to-ground faults (SLGFs) in distribution networks is conducive to determining the cause of grounding faults and formulating targeted measures for hidden danger treatment and fault prevention. For the six types of SLGFs generated in the actual power grid, this paper deeply studies their fault characteristics. Firstly, the classification criterion of fault transition resistance is derived by the generation mechanism of fault zero sequence voltage (ZSV). At the same time, by comparing and analyzing the same and different characteristics between faults, three criteria for fault classification are obtained. Based on the above four criteria, a multilevel and multicriteria fault classification method is proposed to judge six types of SLGFs. Then, the proposed method is verified by various fault state simulations of the distribution network model with a balanced topology and unbalanced topology. The engineering application of the method is demonstrated by the verification of actual power grid data. Finally, noise and data loss interference test results show the robustness of the method. |
format | Online Article Text |
id | pubmed-10647234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106472342023-11-03 Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform Liu, Jiajun Li, Chenjing Liu, Yue Sun, Ji Lin, Haokun Sensors (Basel) Article The further identification of fault types for single line-to-ground faults (SLGFs) in distribution networks is conducive to determining the cause of grounding faults and formulating targeted measures for hidden danger treatment and fault prevention. For the six types of SLGFs generated in the actual power grid, this paper deeply studies their fault characteristics. Firstly, the classification criterion of fault transition resistance is derived by the generation mechanism of fault zero sequence voltage (ZSV). At the same time, by comparing and analyzing the same and different characteristics between faults, three criteria for fault classification are obtained. Based on the above four criteria, a multilevel and multicriteria fault classification method is proposed to judge six types of SLGFs. Then, the proposed method is verified by various fault state simulations of the distribution network model with a balanced topology and unbalanced topology. The engineering application of the method is demonstrated by the verification of actual power grid data. Finally, noise and data loss interference test results show the robustness of the method. MDPI 2023-11-03 /pmc/articles/PMC10647234/ /pubmed/37960647 http://dx.doi.org/10.3390/s23218948 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Jiajun Li, Chenjing Liu, Yue Sun, Ji Lin, Haokun Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform |
title | Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform |
title_full | Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform |
title_fullStr | Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform |
title_full_unstemmed | Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform |
title_short | Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform |
title_sort | single line-to-ground fault type multilevel classification in distribution network using realistic recorded waveform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647234/ https://www.ncbi.nlm.nih.gov/pubmed/37960647 http://dx.doi.org/10.3390/s23218948 |
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