Arc Evolutionary Characteristics Analysis of Tree-Line Flash Faults Assisted by the Adaptive Arc Model

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Abstract

In vegetation-rich areas, tree-line flash faults pose challenges for protection systems due to their high-impedance characteristics, including low fault current amplitude and high harmonic content. To address detection difficulties, this study employs experiments and modeling to explore the relationship between arc characteristics and environmental factors. A controllable test platform was built to analyze the effects of branch moisture content, discharge gap, and tree species on arc electrical parameters. Based on experimental observations of a significant arc resistance transition near 100 Ω, a mechanism-guided, piecewise adaptive Mayr arc model is proposed, where the time constant varies with conductance. Simulation results show that the model accurately reproduces zero-crossing features, amplitude variations, and nonlinear resistance, with an overall error below 8%. This physically clear and environmentally adaptive model provides a foundation for developing high-sensitivity protection technologies for tree-line flash faults under diverse global conditions.
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Data may be preliminary. 2 April 2026 V1 Latest version Share on Arc Evolutionary Characteristics Analysis of Tree-Line Flash Faults Assisted by the Adaptive Arc Model Authors : Song Xiao 0000-0002-2281-0480 [email protected] , Junjie Zeng , Qifeng Wang , Zijian Zhan , Guangning Wu , Ye Cao , Tiangeng Li , … Show All … , Hui Li , Le Fu , Jiaxing Qing , Jialiang Sun , Guoqiang Gao , Yujun Guo , and Xueqin Zhang Show Fewer Authors Info & Affiliations https://doi.org/10.22541/au.177509751.16918136/v1 131 views 97 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract In vegetation-rich areas, tree-line flash faults pose challenges for protection systems due to their high-impedance characteristics, including low fault current amplitude and high harmonic content. To address detection difficulties, this study employs experiments and modeling to explore the relationship between arc characteristics and environmental factors. A controllable test platform was built to analyze the effects of branch moisture content, discharge gap, and tree species on arc electrical parameters. Based on experimental observations of a significant arc resistance transition near 100 Ω, a mechanism-guided, piecewise adaptive Mayr arc model is proposed, where the time constant varies with conductance. Simulation results show that the model accurately reproduces zero-crossing features, amplitude variations, and nonlinear resistance, with an overall error below 8%. This physically clear and environmentally adaptive model provides a foundation for developing high-sensitivity protection technologies for tree-line flash faults under diverse global conditions. Supplementary Material File (main document.docx) Download 51.73 MB Information & Authors Information Version history V1 Version 1 02 April 2026 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords air gaps aluminium manufacture arcs (electric) electric impedance fault simulation fault trees Authors Affiliations Song Xiao 0000-0002-2281-0480 [email protected] Southwest Jiaotong University School of Electrical Engineering View all articles by this author Junjie Zeng Southwest Jiaotong University School of Electrical Engineering View all articles by this author Qifeng Wang Southwest Jiaotong University School of Electrical Engineering View all articles by this author Zijian Zhan Southwest Jiaotong University School of Electrical Engineering View all articles by this author Guangning Wu Southwest Jiaotong University School of Electrical Engineering View all articles by this author Ye Cao Southwest Jiaotong University School of Electrical Engineering View all articles by this author Tiangeng Li Southwest Jiaotong University School of Electrical Engineering View all articles by this author Hui Li Southwest Jiaotong University School of Electrical Engineering View all articles by this author Le Fu Southwest Jiaotong University School of Electrical Engineering View all articles by this author Jiaxing Qing Southwest Jiaotong University School of Electrical Engineering View all articles by this author Jialiang Sun Southwest Jiaotong University School of Electrical Engineering View all articles by this author Guoqiang Gao Southwest Jiaotong University School of Electrical Engineering View all articles by this author Yujun Guo Southwest Jiaotong University School of Electrical Engineering View all articles by this author Xueqin Zhang Southwest Jiaotong University School of Electrical Engineering View all articles by this author Metrics & Citations Metrics Article Usage 131 views 97 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Song Xiao, Junjie Zeng, Qifeng Wang, et al. Arc Evolutionary Characteristics Analysis of Tree-Line Flash Faults Assisted by the Adaptive Arc Model. Authorea . 02 April 2026. DOI: https://doi.org/10.22541/au.177509751.16918136/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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