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电动汽车驱动 ★ 4.0

无人机接触高压输电线路时电火花放电建模及实验室等效测试

Modeling Electric Spark Discharges on Drones in Contact with High-Voltage Power Lines and Lab Equivalent Tests

作者 Viet Duong Hoang · Hanchi Zhang · Tim McRae · Claus Leth Bak · Emad Ebeid
期刊 IEEE Transactions on Power Delivery
出版日期 2025年9月
技术分类 电动汽车驱动
相关度评分 ★★★★ 4.0 / 5.0
关键词 无人机 高压输电线路 电弧现象 模型验证 干扰评估
语言:

中文摘要

无人机已广泛应用于高压输电线路的巡检与维护,但其与高压导线间的电位差易引发电火花放电。本文建立了电弧现象的数学模型,可预测任意电压等级和间距下的火花电流幅值与重复频率。通过最高100 kV交流电压的实验室实验验证,模型在峰值电流预测上的误差范围为3.6%至23%。基于仿真结果评估了碳纤维无人机的电磁干扰,并提出了最小化屏蔽方案以降低噪声。所有模型均开源共享,并提出了至少降低两倍电压的等效实验室测试方法,以复现实际架空线路的电弧条件。

English Abstract

The use of drones for inspecting and maintaining high-voltage transmission lines has become increasingly popular, replacing traditional methods like helicopters and cranes. However, the potential difference between the drone and the high-voltage cable results in the occurrence of electric sparks striking the drone during its interaction with the power cable to perform tasks. This paper models the arcing phenomenon to predict spark current levels and repetition rates at any power line voltages and distances. Lab experiments at voltages up to 100 kV AC were conducted to validate the model, showing an accuracy range of 3.6% to 23% when considering the peak currents. The results were used to evaluate the interference to a carbon fiber drone in simulation and minimal shield was proposed to reduce the noise. All the proposed models are made available as open-source. Additionally, equivalent lab tests using at least two times lower voltages were introduced to replicate the arcing conditions of real overhead power lines.
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SunView 深度解读

该电火花放电建模技术对阳光电源智能运维体系具有重要参考价值。研究中的电弧数学模型和等效测试方法可应用于iSolarCloud云平台的预测性维护模块,用于光伏电站和储能电站的高压设备巡检风险评估。特别是针对SG系列光伏逆变器和ST储能变流器所连接的高压输电线路,该模型可预测无人机巡检时的电磁干扰水平,指导巡检安全距离设定。研究提出的碳纤维设备电磁屏蔽方案对PowerTitan大型储能系统的EMC设计具有借鉴意义,有助于优化系统在高压环境下的抗干扰能力,提升设备可靠性和运维安全性。