• DocumentCode
    3349107
  • Title

    A New Method for Interharmonic Identification

  • Author

    Yu Ji ; Sun, Yunlian

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new method based on improved multiple signal classification (MUSIC) algorithm and independent component analysis (ICA) method is applied in this paper. In contrast with the original MUSIC algorithm, the proposed version can give good performance at lower signal/noise ratio (SNR). After estimating the frequencies accurately, the amplitudes and phases of interharmonics are calculated with ICA method. Compared with some other algorithms, the improved MUSIC algorithm obtained higher resolution in frequency domain and ICA method separated fixed signal into several independent signals. The simulation indicates the validity of this method.
  • Keywords
    independent component analysis; signal classification; MUSIC algorithm; improved multiple signal classification; independent component analysis; interharmonic identification; signal/noise ratio; Covariance matrix; Frequency conversion; Frequency domain analysis; Frequency estimation; Independent component analysis; Multiple signal classification; Power harmonic filters; Power system harmonics; Sensor arrays; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918073
  • Filename
    4918073