Identification and Location of Near-end Faults in Transmission Lines Based on Time-domain Waveform Characteristic Recognition

被引：0
|
作者：
Zhang G. [1 ]
Chen B. [1 ]
Shu H. [1 ]
Si D. [2 ]
机构：
[1] Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming
[2] Electric Power Grid Planning and Construction Research Center, Yunnan Electric Power Grid Co., Ltd., Kunming
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 05期
基金：
中国国家自然科学基金;
关键词：
distribution of pixel density; fault location; mutation period; near-end fault; nearest neighbor searching; traveling wave;
D O I：
10.7500/AEPS20221230006
中图分类号：
学科分类号：
摘要：
In view of the shortcomings that the existing single-ended traveling wave fault location has a blind spot for near-end faults and the error of double-ended traveling wave fault location for near-end fault location is large, which can not meet the needs of engineering, a method for the identification and location of near-end faults based on waveform characteristic recognition is proposed. First, the traveling wave propagation rule of line faults is analyzed, and the waveform is displayed at a fixed resolution. It is found that when the fault is at the near-end, the initial traveling wave and its subsequent waveforms show the characteristics of stacked slow change under the overall macro-observation of the long-time window and the periodic change under the local zoomed-in observation of the short-time window, and the period is related to the fault distance. The near-end fault history samples of different lines can be used as a unified reference to provide tips for fault location. Then, a near-end fault identification method is proposed based on waveform density and sudden change distribution. Finally, the periods of the identified near-end faults are estimated, using the independence of the near-end faults and the knowledge of the mutation period and fault location of the historical samples, the nearest historical samples of the period are searched and the fault location is determined by the known fault distance interpolation. Based on a large number of measured data, the results of simulation tests show that the proposed method can significantly improve the reliability and success rate of single-ended traveling wave location. © 2024 Automation of Electric Power Systems Press. All rights reserved.
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页码：146 / 156
页数：10
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