Selecting the Best: Wavelet Function for Power Quality Disturbances Identification Patterns

被引：0

作者：

Vega, V. ^{[1
]}

Duarte, C. ^{[2
]}

Ordonez, G. ^{[2
]}

Kagan, N. ^{[1
]}

机构：

[1] Univ Sao Paulo, EPUSP Polytech Sch, Av Luciano Gualberto,Travessa 3,158 Cidade Univ, BR-05508900 Sao Paulo, Brazil

[2] Ind Univ Santander, E3T UIS Elect & Elct Engn Sch, Santander, Spain

来源：

2008 13TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER, VOLS 1 AND 2 | 2008年

关键词：

Discrete Wavelet Transform; wavelet function; monitoring; power quality; disturbances; frequency response;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper proposes a technique to select a wavelet function that shows good characteristics for the identification of power quality disturbances. It considers the low frequency disturbances such as flicker and harmonics as well as high frequency disturbances such as transient and voltage sags. Due to time-frequency localization properties, the Discrete Wavelet Transform permits signal decomposition in different energy levels, which are used to characterize disturbances that contain information on the frequency domain. Four wavelet families were studied in which Biorthogonal showed excellent performance.

引用

页码：703 / +

页数：2

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