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电动汽车驱动 DAB 可靠性分析 ★ 4.0

基于传播函数频谱的三芯电缆高阻故障早期定位方法研究

Research on Early Three-Core Power Cable High-Impedance Fault Location Method Based on the Spectrum of Propagation Functions

作者 Chunqi Liu · Dongsheng Chen · Yimin Hou
期刊 IEEE Transactions on Power Delivery
出版日期 2024年12月
技术分类 电动汽车驱动
技术标签 DAB 可靠性分析
相关度评分 ★★★★ 4.0 / 5.0
关键词 三芯电力电缆 高阻抗故障 故障定位 传播函数频谱法 定位误差
语言:

中文摘要

三芯电力电缆高阻故障易发展为严重故障,精准定位对保障线路可靠性至关重要。传统时域反射法检测灵敏度低,频域反射法存在干扰峰问题,导致定位不准。本文提出一种基于传播函数频谱(SPF)的故障定位新方法,通过建立电缆S参数模型,揭示高阻故障引起SPF谐振频率变化的机理,并采用积分变换算法从SPF中提取故障位置,数值仿真验证了方法可行性。在100米三芯电缆上设置高阻故障,利用矢量网络分析仪实测SPF。结果表明,相比TDR和FDR方法,该方法对高阻故障识别能力更强,定位结果更可靠,定位误差低于0.16%,具有良好的应用价值。

English Abstract

High-impedance faults in three-core power cables gradually develop into serious faults. Hence, localizing high-impedance faults is the key to ensuring transmission line reliability. The fault location cannot be accurately located due to the low detection sensitivity of the time-domain reflection (TDR) method and interference peaks in the localization results of the frequency-domain reflection (FDR) method. A new spectrum of propagation function (SPF) based fault localization method is proposed in this paper. Cable's S-parameter model is first described to reveal the reason for the change in the resonant frequency in the SPF due to high-impedance faults. In addition, the integral transform algorithm is employed to extract the cable's fault location from the SPF; the method's feasibility is numerically verified. Finally, high-impedance faults are set up in a three-core cable of 100 m in length, and the SPF of the cable is measured via a vector network analyzer. Compared with the TDR and FDR methods, the proposed approach is more capable of identifying high-impedance faults and more dependable on localization results. The fault localization error is within 0.16%, which has good application value.
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SunView 深度解读

该三芯电缆高阻故障定位技术对阳光电源大型储能系统和光伏电站具有重要应用价值。PowerTitan储能系统和集中式光伏电站普遍采用三芯中压电缆连接变流器与升压变压器,高阻故障早期难以检测但易演变为严重事故。该方法基于传播函数频谱分析,定位精度达99.84%,显著优于传统TDR/FDR方法,可集成至iSolarCloud智能运维平台,实现电缆健康状态在线监测与预测性维护。特别适用于ST系列储能变流器和SG系列大功率逆变器的电缆连接诊断,通过矢量网络分析仪定期扫描,可在故障初期精准定位,避免系统停机损失,提升电站可靠性和运维效率,降低LCOE成本。