Water Tree Detection in Underground Cables Using Time Domain Reflectometry

K. Burkes, E. Makram, R. Hadidi
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引用次数: 33

Abstract

This paper proposes to use time domain reflectometry (TDR) to detect water trees in underground residential distribution (URD) cables. Water trees are very dangerous to underground cables. They can grow for years without any change on the performance of the cable, and then can cause the cable to fault unexpectedly. Therefore, a method to detect water trees in URD cables is proposed in this paper. The method implements an optimal pulse generator placement algorithm on a distribution feeder for performing TDR. It can determine the exact location of a water tree in a cable, and it does not rely on the length of the cable or the type of cable used. The method can also detect multiple water trees on the same cable, and can be installed on existing systems, since it does not require data of the healthy system. It is a periodic monitoring system where pulses are sent throughout the year. The proposed method has been verified using multiple case studies on a real distribution feeder. Using TDR, optimal pulse generator placement, and subtraction of cables' measured signal in time domain with similar measured signals a critical distribution feeder's health has been monitored successfully.
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利用时域反射法探测地下电缆中的水树
本文提出用时域反射法探测地下住宅电缆中的水树。水树对地下电缆非常危险。它们可以生长多年而不改变电缆的性能,然后可能导致电缆意外故障。为此,本文提出了一种水下电缆中水树的检测方法。该方法实现了在配电馈线上进行TDR的最佳脉冲发生器放置算法。它可以确定水树在电缆中的确切位置,而不依赖于电缆的长度或使用的电缆类型。该方法还可以检测同一电缆上的多个水树,并且可以安装在现有系统上,因为它不需要健康系统的数据。这是一个定期监测系统,全年发送脉冲。该方法已在实际配电馈线上进行了实例验证。利用TDR、最佳脉冲发生器位置以及将电缆的测量信号在时域内与相似的测量信号相减,成功地监测了关键配电馈线的健康状况。
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