• DocumentCode
    2118807
  • Title

    Application of Neural Network in Power System Inter-harmonic Detection

  • Author

    Wang Li ; Wang Xiao-hua

  • Author_Institution
    Changsha Univ. of Sci. & Technol., Changsha, China
  • fYear
    2010
  • fDate
    24-26 Dec. 2010
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    Inter-harmonic is a special power system harmonics, which appears frequently grid. This article outlines the sources and hazards of inter-harmonic, and analysis several inter-harmonic detection methods. A new Inter-harmonic detection method which combines with double interpolation FFT and artificial neural networks (ANN) is applied in the article, the feasibility of the harmonic analysis method is researched. The simulation example shows that the method can get high-precision amplitude and phase, so it is effective.
  • Keywords
    fast Fourier transforms; harmonic analysis; neural nets; power engineering computing; power system harmonics; artificial neural networks; double interpolation FFT; harmonic analysis method; power system interharmonic detection; Algorithm design and analysis; Artificial neural networks; Harmonic analysis; Interpolation; Power harmonic filters; artificial neural networks; detection; double interpolation; hamonici;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2010 International Symposium on
  • Conference_Location
    Shanghai
  • ISSN
    2160-1283
  • Print_ISBN
    978-1-61284-428-2
  • Type

    conf

  • DOI
    10.1109/ISISE.2010.58
  • Filename
    5945060