• DocumentCode
    2935246
  • Title

    Identification of Low-Frequency Oscillations in Power Systems Based on Improved HHT

  • Author

    Ma Yan-feng ; Zhao Shu-qiang ; Hu Yong-qiang

  • Author_Institution
    Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to solve mode mixing, an improved HHT (IHHT) is proposed to identify modes of low frequency oscillation (LFO) in power systems. Firstly, by means of Fourier transform the approximate frequency range of every mode is determined; then methods such as masking signals or filters are chosen to separate mixing modes. Finally mode parameters can be calculated by linear least quadratic fitting. Simulated signals are analyzed by conventional HHT and IHHT, results show that IHHT can correctly separate mixing modes and identify modes parameters, results are in advance of traditional algorithms, so the proposed algorithm is suitable to mode identification of LFO.
  • Keywords
    Fourier transforms; Hilbert transforms; oscillations; power system transients; Fourier transform; Hilbert transforms; LFO; improved HHT; linear least quadratic fitting; low-frequency oscillations; masking signals; mode mixing; power systems; Damping; Fitting; Oscillators; Power system dynamics; Time frequency analysis; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748812
  • Filename
    5748812