• DocumentCode
    3100195
  • Title

    Two Techniques to Enhance Empirical Mode Decomposition for Power Quality Applications

  • Author

    Senroy, N. ; Suryanarayanan, S.

  • Author_Institution
    Center for Adv. Power Syst., Florida State Univ., Tallahassee, FL
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Joint time-frequency characterization techniques are gaining importance in power quality studies of time-varying waveform distortions. In this context, the performance of the recently introduced empirical mode decomposition (EMD) as a second order filter is examined in this paper. The original EMD technique is incapable of separating components whose frequencies lie within the same octave. Using appropriate masking signals, the EMD can be made more discriminating for closely spaced frequency components. However, limitations still remain, and this paper discusses some aspects thereof. A frequency shifting technique is suggested to further enhance the discriminating property of EMD. Synthetic data similar to signals found in power quality studies are employed for demonstration purposes.
  • Keywords
    power filters; power supply quality; time-frequency analysis; empirical mode decomposition; joint time-frequency characterization techniques; power quality applications; second order filter; time-varying waveform distortions; Distortion measurement; Harmonic distortion; Nonlinear distortion; Power electronics; Power harmonic filters; Power quality; Power system harmonics; Time frequency analysis; Visualization; Voltage; Hilbert transform; Hilbert-Huang method; empirical mode decomposition; frequency heterodyne; power quality; time-varying distortions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.386016
  • Filename
    4275782