改进电力系统故障定位质量的自定义小波

P. Argyropoulos, H. Lev-Ari
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引用次数: 1

摘要

提出了一种沿输电线路长度产生自定义小波检测故障位置的方法。测量两个连续瞬态反射之间的到达时间差(TDOA)或两个同步电压/电流母线测量的两个初始峰值之间的TDOA提供了准确的故障定位估计。只有当处理后的故障波形由短脉冲/峰值脉冲组成,并且以较小的组延迟到达总线时,才能获得高精度的TDOA估计。我们的定制程序通过优化合适的峰值度量来增强暂态波形的“峰值”并缩短群延迟。这种方法比文献中发现的“经典”(Daubechies)基于小波的技术产生更准确的估计。该方法与故障类型无关,可以在保持可靠的TDOA估计的同时降低所需的数据采样率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Customized wavelets for improved fault location quality in power systems
A procedure for generating customized wavelets for detecting the location of a fault along the length of a transmission line is proposed. Measuring the time-difference-of-arrival (TDOA) between two consecutive transient reflections or the TDOA between the two initial peaks of two synchronized voltage/current bus measurements provides an accurate fault location estimate. Highly accurate TDOA estimates can be obtained only when the processed fault waveform consists of short/peaked pulses that arrive on a bus with a small group delay. Our customization procedure enhances the “peakedness” and shortens the group delay of the transient waveform by optimizing a suitable peakedness metric. This approach yields more accurate estimates than the “classic” (Daubechies) wavelet-based techniques found in the literature. The proposed method is independent of the fault-type and can be used to reduce the required data sampling rate while maintaining reliable TDOA estimates.
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