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基于提升小波变换的在线谐波检测

陆建龙 魏建勋 黄辉先 彭一芯 方鑫

计算机工程与应用2016,Vol.52Issue(14):50-53,61,5.
计算机工程与应用2016,Vol.52Issue(14):50-53,61,5.DOI:10.3778/j.issn.1002-8331.1409-0166

基于提升小波变换的在线谐波检测

Research of online harmonic detection based on lifting wavelet transform

陆建龙 1魏建勋 2黄辉先 1彭一芯 1方鑫1

作者信息

  • 1. 湘潭大学 信息工程学院,湖南 湘潭 411105
  • 2. 湘潭电机股份有限公司,湖南 湘潭 411105
  • 折叠

摘要

Abstract

For the problems that large computation, no real-time and low precision results using traditional threshold func-tion detection when wavelet transform is applied to harmonic detection, a new online harmonic detection method is proposed in this paper, which applies lifting wavelet to signal sequence to deal with data processing of the new threshold function, while at the same time tracking harmonic current signals dynamically using sliding time window to achieve the online testing. To test harmonic detection capability of this method when non-linear load current is generated mutation, simulation model of the shunt active power filter is built up. Simulation result verifies that the online harmonic detection not only can separate the current component of fundamental wave and harmonic wave accurately, but also has better rapidity, real-time and accuracy.

关键词

并联型有源电力滤波器(SAPF)/在线谐波检测/提升小波变换/滑动时间窗/阈值函数

Key words

Shunt Active Power Filter(SAPF)/online harmonic detection/lifting wavelet transform/sliding time window/threshold function

分类

信息技术与安全科学

引用本文复制引用

陆建龙,魏建勋,黄辉先,彭一芯,方鑫..基于提升小波变换的在线谐波检测[J].计算机工程与应用,2016,52(14):50-53,61,5.

基金项目

湖南省教育厅重点项目(No.12A136)。 ()

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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