Comparison of wavelet and Fourier analysis in power quality

2012 Electric Power Quality and Supply Reliability Pub Date : 2012-06-11 DOI:10.1109/PQ.2012.6256210

E. Fuchs, B. Trajanoska, Sarah Orhouzee, H. Renner

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引用次数: 16

Abstract

To guarantee high power quality the monitoring of the power grid is essential part of the process. The secure the best possible supervision of the power quality novel methods for the detection of power quality disturbances have to be considered. State of the art of power quality monitoring in the case of harmonics is the Fourier Transform. This kind of transform is basically used for stationary signals. During the last years the wavelet analysis has found some acceptation in the power quality community. This kind of transform is especially used for transient signals. It has the advantage that the transformation allows information about the time and the frequency of the power quality disturbance. The aim of this paper is the comparison of different Fourier and wavelet algorithm. Especially the application on inter-harmonics, transient harmonics and high frequency harmonics in the range above 2 kHz is investigated. The advantages of the different algorithms shall be discussed. The paper will be a help for power quality experts to find the best algorithm out of a set of well-established and novel algorithms for their problems.

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小波分析与傅立叶分析在电能质量中的比较

为了保证电能质量，电网的监测是整个过程中必不可少的一部分。为了保证电能质量的最佳监控，必须考虑检测电能质量扰动的新方法。谐波情况下电能质量监测的最新技术是傅里叶变换。这种变换基本上用于平稳信号。近年来，小波分析在电能质量领域得到了广泛的应用。这种变换特别适用于瞬态信号。它的优点是变换后可以得到电能质量扰动的时间和频率信息。本文的目的是比较不同的傅里叶和小波算法。重点研究了在2khz以上范围内的间谐波、瞬态谐波和高频谐波的应用。本文将讨论不同算法的优点。本文将有助于电能质量专家从一套完善的、新颖的算法中找到最佳的算法来解决问题。

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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来源期刊

2012 Electric Power Quality and Supply Reliability

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