考虑人体放电附着点的带电作业组合间隙击穿电压预测研究
Study On Predicting Breakdown Voltage Of Combination Gap In Live Working Considering Human Body Discharge Attachment Points
- 高压电器 2026年
- 作者机构：
1.三峡大学电气与新能源学院，湖北 宜昌 443002
2.中国电力科学研究院有限公司电网环境保护国家重点实验室，湖北 武汉 430072
3.湖北省输电线路工程技术研究中心（三峡大学），湖北 宜昌 443002
4.国网四川省电力公司超高压分公司，四川 成都 610041
- 作者简介：
刘凯（1979），男，博士，教授级高级工程师，主要从事输电线路运行维护、带电作业技术研究，liukai3@epri.sgcc.com.cn;
张雨秋（2001），男，通信作者，硕士，从事高电压与绝缘技术、带电作业技术研究，1160151600@qq.com；
- 基金信息：国家自然科学基金青年基金项目(51807110)
DOI：
中图分类号：收稿：2025-10-06，
修回：2025-12-03，
录用：2025-12-15，
- 稿件说明：
移动端阅览
刘凯, 张雨秋, 邱中华, 等. 考虑人体放电附着点的带电作业组合间隙击穿电压预测研究[J/OL]. 高压电器, 2026.
LIU Kai, ZHANG Yuqiu, QIU Zhonghua, et al. Study On Predicting Breakdown Voltage Of Combination Gap In Live Working Considering Human Body Discharge Attachment Points[J/OL]. High Voltage Apparatus, 2026.
摘要
空气间隙的击穿电压是超/特高压输电线路带电作业安全防护的关键因素。针对等电位作业间隙放电路径受等电位作业人员的站位与姿势影响而影响击穿电压问题，本文聚焦复合横担带电作业提出了一种考虑人员站位姿态及放电附着点的击穿电压预测方法。基于先导放电模型，建立了考虑等电位人体的带电作业间隙放电附着点模型，并分析了不同姿态下人体体表的放电附着概率；将间隙结构和电场分布等特征量作为支持向量机（support vector machine，SVM）的输入量，以间隙是否击穿作为输出量，建立了击穿电压预测模型。通过该模型对复合横担等电位作业间隙的正极性操作冲击50%放电电压进行了预测，预测值与试验值相吻合。本文方法可准确地表征作业人员的姿态与站位对组合间隙绝缘强度的影响，为等电位人体-杆塔间隙击穿电压的获取提供了一种新途径，有望在实际应用中提高带电作业的安全性。
Abstract
The breakdown voltage of air gap plays a crucial role in the safety protection of live working on UHV / EHV transmission lines. Regarding the issue that the discharge path of the equipotential operation gap is affected by the position and posture of the equipotential operation personnel
and thus influences the breakdown voltage
this paper focuses on the composite cross-arm live working and proposes a breakdown voltage prediction method that takes into account the personnel's position and posture as well as the discharge attachment point. Based on the leader discharge theory
the model of discharge attachment points of live working gap considering equipotential human body is established
and the probability of discharge attachment on human body surface under different postures is analyzed. The characteristic quantities
such as gap structure and electric field distribution are input for the support vector machine (SVM)
and whether the breakdown of the gap is considered as the output
and the breakdown voltage prediction model is established. The model predicted the 50% discharge voltage of the positive switching impulse of the equipotential working gap of the composite cross arm
and the prediction matched the experimental value. The method in this paper accurately characterizes the insulation strength of the combined gap
offering a new approach to determine the breakdown voltage of the human-tower equipotential gap.
关键词
Keywords
references
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