Fault location method for new distribution networks based on waveform matching of time–frequency travelling waves

IF 2.7 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Smart Grid Pub Date : 2024-10-01 DOI:10.1049/stg2.12190
Zhongqiang Zhou, Yuan Wen, Moujun Deng, Jianwei Ma, Jupeng Zeng, Xiaolong She
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Abstract

Some existing fault location methods for distribution networks rely too much on the local wave head information of the time or frequency domain signals, making it difficult to adapt to the increasingly complex structure and operating conditions of the distribution network after the new energy access. For improvement, the travelling wave (TW) time and frequency ranges that can effectively avoid waveform distortion caused by new energy access are analysed. The one-to-one matching relationship between the TW waveforms in these ranges and the fault positions is revealed. A fault TW time–frequency matrix with specific time and frequency windows is constructed, and a new distribution network fault location method is proposed based on the matching technique of waveform features, which realises the accurate fault location by exploring the proportionality between the cumulative trend of the matrix energy amplitude deviation and the fault point position. Simulation test results show that the proposed method is not affected by the complex structure of distribution networks such as new energy access and overhead-cable line mixing on fault location and flexibly transforms the fault location problem into a time–frequency TW waveform matching problem, which improves the accuracy and robustness of the fault location for new distribution networks to a degree.

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基于时频行波波形匹配的新型配电网故障定位方法
现有的一些配电网故障定位方法过于依赖时域或频域信号的局部波头信息,难以适应新能源接入后配电网日益复杂的结构和运行条件。为了改进,分析了能有效避免新能源接入引起的波形畸变的行波时间和频率范围。揭示了这些范围内的TW波形与断层位置的一一匹配关系。构造了具有特定时频窗的故障TW时频矩阵,提出了一种基于波形特征匹配技术的配电网故障定位新方法,通过探索矩阵能量幅值偏差的累积趋势与故障点位置的比例关系,实现了故障的精确定位。仿真试验结果表明,该方法不受新能源接入、架空电缆混线等配电网复杂结构对故障定位的影响,并将故障定位问题灵活地转化为时频TW波形匹配问题,在一定程度上提高了新型配电网故障定位的精度和鲁棒性。
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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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