| 引用本文: | 蒋卓峰,蔡乐辉,辜 弘,等.基于零序分量的 10 kV 线路下方山火事故原因判别研究[J].电力系统保护与控制,2026,54(08):165-175. |
| JIANG Zhuofeng,CAI Lehui,GU Hong,et al.Method for identifying the causes of wildfire incidents beneath 10 kV distribution lines based on zero-sequence components[J].Power System Protection and Control,2026,54(08):165-175 |
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| 摘要: |
| 近年来森林山火频发，但事故调查中缺乏有效鉴定手段判定线路下方山火是否由配电网故障诱发。通过搭
建真型实验平台，获取了线路经火焰对地放电故障与树线、断线故障的零序分量信号，建立了不同故障过渡阻抗
模型。基于零序电压总谐波畸变率(total harmonic distortion, THD)波动量、各系数小波能量占比、零序电流长时间
波形三大类共计14种故障特征，提出了计及多维特征F-score值引导支持向量机的故障辨识模型，该模型识别准
确率达到了95.46%。通过结合山火发生后的电气数据，该方法可反映山火事故原因，为判定山火是否由树线放电
等配电网故障诱发提供技术依据。 |
| 关键词: 山火原因 零序电压 零序电流 小波变换 支持向量机 |
| DOI：10.19783/j.cnki.pspc.250739 |
| 分类号: |
| 基金项目:国家自然科学区域创新发展联合基金重点支持项目（U19A2080） |
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| Method for identifying the causes of wildfire incidents beneath 10 kV distribution lines based on zero-sequence components |
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JIANG Zhuofeng, CAI Lehui, GU Hong, YANG Chunlan, CHEN Tianxiang
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1. Chengdu University of Technology, Chengdu 610059, China; 2. Sichuan University, Chengdu 610065, China
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| Abstract: |
| In recent years, forest wildfires have occurred frequently, yet effective identification methods are lacking in accident investigations to determine whether wildfires beneath power lines are caused by power system faults. By constructing a full-scale experimental platform, zero-sequence component signals from line-to-ground discharge faults caused by flames, as well as tree-line and broken-line faults, are obtained, and corresponding transitional impedance models for different fault scenarios are established. Based on three categories of fault features, namely, the fluctuation of total harmonic distortion (THD) of zero-sequence voltage, the proportion of wavelet energy across different coefficients, and long-duration waveform characteristics of zero-sequence current, a total of 14 fault features are extracted. A fault identification model is proposed using a support vector machines (SVM) guided by multidimensional feature F-score values, achieving an identification accuracy of 95.46%. By integrating post-fire electrical data, this approach can effectively reveal the causes of wildfires and provide a technical basis for determining whether such incidents are triggered by distribution network faults such as tree-line discharges. |
| Key words: causes of wildfire zero-sequence voltage zero-sequence current wavelet transform support vector machine |
