• DocumentCode
    1186377
  • Title

    Wavelet-Based Scheme for Detection of Torsional Oscillation

  • Author

    Lin, Xingqin ; Zhang, Haijun ; Liu, Peng ; Malik, O. P.

  • Author_Institution
    Huazhong University of Science and Technology; University of Calgary
  • Volume
    22
  • Issue
    8
  • fYear
    2002
  • Firstpage
    66
  • Lastpage
    66
  • Abstract
    A new scheme for torsional oscillation detection is proposed. The scheme is based on the biorthogonal wavelet transform (WT) and complex WT. The first step of the method is to design a biorthogonal low-pass filter, which filters the high order harmonics. A complex wavelet is then used to extract the oscillation feature from the remnant signal. The effectiveness of the proposed scheme is verified with mathematical and simulation models. Furthermore, as the Mallat algorithm and the recursive computation method are used for the proposed scheme, it is easy to be implemented for real-time applications.
  • Keywords
    Artificial neural networks; Harmonic distortion; Low pass filters; Neural networks; Power system analysis computing; Power system harmonics; Power system measurements; Power system modeling; Power system simulation; Pricing; Biorthogonal wavelet; complex wavelet; multiresolution analysis; torsional oscillation;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.2002.4312496
  • Filename
    4312496