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Online applications of wavelet transforms to power system relaying

机译:小波变换在电力系统继电中的在线应用

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摘要

Power system disturbances are normally subjected to transients and nonperiodic components which present a problem to the overall performance of protective relays. The use of traditional discrete Fourier transforms (DFTs) to extract the fundamental frequency components from the relaying signals is inappropriate to nonperiodic signals. A novel wavelet transform-based technique for power system relaying has been presented before, which has the ability to perform local analysis of relaying signals without losing the time-frequency information in the signal. This technique is considered to be straight-forward, fast, and adequate for online applications. In this paper, the theoretical background of the technique is presented. Then, the proposed method is described in detail. Finally, the effect of different parameters on the algorithm are examined in order to highlight its performance. It is found that the DWT is an excellent online tool for protective relaying applications using short data windows.
机译:电力系统的干扰通常会受到瞬态和非周期性分量的影响,这会给保护继电器的整体性能带来问题。使用传统的离散傅立叶变换(DFT)从中继信号中提取基本频率分量不适用于非周期性信号。以前已经提出了一种基于小波变换的电力系统继电保护新技术,该技术具有对继电信号进行局部分析而又不会丢失信号中的时频信息的能力。该技术被认为是直接,快速且适合在线应用程序的。本文介绍了该技术的理论背景。然后,详细描述所提出的方法。最后,检查了不同参数对算法的影响,以突出其性能。发现DWT是使用短数据窗口的继电保护应用的出色在线工具。

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