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基于独立分量分析的谐波检测

Harmonic detection based on independent component analysis

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【作者】 季宇孙云莲李晶

【Author】 JI Yu,SUN Yun-lian,LI Jing(School of Electric Engineering,Wuhan University,Wuhan 430072,China)

【机构】 武汉大学电气工程学院

【摘要】 长期以来,谐波治理一直是电能质量控制的重要组成部分,而准确的检测又是有效治理和分析谐波的前提和基础。将谐波的问题视作盲源分离问题,并将该领域中广泛使用的独立分量分析法运用到检测算法中。通过构建适当的虚拟观测源,从观测信号中分离出基波和各次谐波分量。实验结果表明,该方法在实时性要求不高的情况下可准确检测谐波。

【Abstract】 For a long time,harmonic control has been an important part of power quality control and the accurate detection of harmonic is also the basic condition for the correct analysis.This paper views the problem of harmonic detection as blind source separation(BSS).The independent component analysis(ICA) algorithm is applied in this paper,which is widely used in the filed of BSS.In order to apply ICA algorithm correctly,it is necessary to construct proper number of virtue observed channels.The simulation validates that harmonic can be separated effectively with this method in the circumstances of low demand for the real time.

  • 【文献出处】 电力系统保护与控制 ,Power System Protection and Control , 编辑部邮箱 ,2009年08期
  • 【分类号】TM76
  • 【被引频次】25
  • 【下载频次】367
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