Research and Practice on Primary and Secondary Fusion Identification Technology for Tree-Line Grounding Faults in Smart Distribution Networks

This paper focuses on the primary and secondary fusion identification technology for tree-line grounding faults in smart distribution networks. It deeply analyzes the serious threats of tree-line grounding faults to the safe and stable operation of distribution networks and elaborates on the crucial significance of accurately identifying such faults and fusing line environment perception information. The high-precision digital transformer technology, various fault feature analysis algorithms, and multi-source signal fusion strategies for line environment are introduced in detail. Through the development of fault identification devices and pilot applications, the remarkable effectiveness of this technology in improving the fault detection and prevention level of distribution networks is demonstrated, providing strong support for ensuring the safe and stable operation of power systems.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991650
Citations
1
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.21
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Research and Practice on Primary and Secondary Fusion Identification Technology for Tree-Line Grounding Faults in Smart Distribution Networks

Da Qiao Guo, Han Xu, Xiaodong Yi, Jialiang Jiang et al.
1 citations
Smart Grid and Power Systems
0.21
article

Research and Practice on Primary and Secondary Fusion Identification Technology for Tree-Line Grounding Faults in Smart Distribution Networks

Da Qiao Guo, Han Xu, Xiaodong Yi, Jialiang Jiang, Nana Ren
article en
1 citations

Abstract

This paper focuses on the primary and secondary fusion identification technology for tree-line grounding faults in smart distribution networks. It deeply analyzes the serious threats of tree-line grounding faults to the safe and stable operation of distribution networks and elaborates on the crucial significance of accurately identifying such faults and fusing line environment perception information. The high-precision digital transformer technology, various fault feature analysis algorithms, and multi-source signal fusion strategies for line environment are introduced in detail. Through the development of fault identification devices and pilot applications, the remarkable effectiveness of this technology in improving the fault detection and prevention level of distribution networks is demonstrated, providing strong support for ensuring the safe and stable operation of power systems.

Shenyang Institute of Engineering (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
Smart Grid and Power Systems
0.21
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