实时计量中基于小波包分解的电力系统谐波计算

IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276) Pub Date : 2002-08-07 DOI:10.1109/IMTC.2002.1007206

L. Eren, M. Devaney

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引用次数: 33

摘要

快速傅里叶变换因其计算复杂度低而广泛应用于实时电力计量谐波分析中。另一种替代方法，小波包分解，已经应用于电力系统信号，以测量电压和电流谐波。尽管新方法提供了更好的分析，但常用滤波器(如Daubechies, Vaidyanathan和Beylkin)的计算复杂性限制了其在实时测量中的应用。本文提出了巴特沃斯IIR滤波器的全通实现，以降低上述FIR滤波器的计算复杂性，同时提供类似的幅度特性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Calculation of power system harmonics via wavelet packet decomposition in real time metering

The fast Fourier transform is used widely in harmonic analysis for real time power metering due to its low computational complexity. An alternate method, wavelet packet decomposition, has been applied to power system signals to meter voltage and current harmonics Although the new method provides better analysis, the computational complexity of commonly used filters such as Daubechies, Vaidyanathan, and Beylkin places a limitation on its use in real time metering. This paper proposes an all-pass implementation of Butterworth IIR filters to reduce the computational complexity of the aforementioned FIR filters while providing similar if not better magnitude characteristics.

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IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276)

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