• DocumentCode
    3367434
  • Title

    Harmonic Detection of Power System Based on SVD and EMD

  • Author

    Wang Wei ; Liu Zengli ; Chen Lin ; Sha Weiwei

  • Author_Institution
    Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    185
  • Lastpage
    189
  • Abstract
    It is greatly significant to detect harmonic accurately and effectively for improving the quality of electric energy in the power system. Actually, much noise exists in signal besides harmonics, inter-harmonics, so the key is how to detect harmonic signals from the complex power system. According to the analysis of harmonic and noise, a new method is proposed in the paper to detect harmonic based on the Empirical Mode Decomposition (EMD) combination with the Singular Value Decomposition (SVD). Applications of three cases into the harmonic wave detecting show that the EMD based on SVD successfully conquers mode aliasing caused by noise. It is effective to detect amplitude and frequency of harmonics from complex signals of power system, proves that the algorithm could effectively and accurately detect harmonic signal.
  • Keywords
    power system harmonics; signal detection; singular value decomposition; EMD; SVD; electric energy quality improvement; empirical mode decomposition; harmonic amplitude detection; harmonic analysis; harmonic frequency detection; harmonic signal detection; harmonic wave detection; mode aliasing; noise analysis; power system harmonic detection; singular value decomposition; Educational institutions; Harmonic analysis; Noise; Power harmonic filters; Transforms; EMD; Harmonic Detection; Mode Aliasing; SVD;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2013 9th International Conference on
  • Conference_Location
    Leshan
  • Print_ISBN
    978-1-4799-2548-3
  • Type

    conf

  • DOI
    10.1109/CIS.2013.46
  • Filename
    6746382