• DocumentCode
    3474098
  • Title

    Fast voltage detection for a single-phase dynamic voltage restorer (DVR) using morphological low-pass filters

  • Author

    Zhou, Hui ; Zhou, Jing ; Qi, Zhi-ping

  • Author_Institution
    Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    2042
  • Lastpage
    2046
  • Abstract
    In this paper, we introduce a Mathematical Morphology(MM) theory based low-pass filter to preprocess the single-phase voltage sag signal, to filter out noises and any other interferences in the sampled signal. A comparison between the MM filter and traditional low-pass filters is carried out to analyze the applicability and accuracy of the MM filter. The selection of structural element is discussed as well according to the filtering result. In addition, we introduce a "Specific Harmonic Elimination" method to eliminate certain low frequency harmonic of the sampled voltage after dq transformation, which could greatly simplify the design of the low-pass filter. Then a elliptic filter is used for constant component abstraction. Software simulation result has verified the practicability of the algorithm.
  • Keywords
    low-pass filters; power harmonic filters; power supply quality; fast voltage detection; frequency harmonics; morphological low-pass filters; single-phase dynamic voltage restorer; single-phase voltage sag signal; Digital filters; Filtering algorithms; Filtering theory; Low pass filters; Morphology; Power harmonic filters; Power system harmonics; Power system transients; Signal processing algorithms; Voltage fluctuations; Dq transformation; dynamic voltage restorer (DVR); mathematical morphology(MM) theory; software phase locked loop (SPLL); voltage sag;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523744
  • Filename
    4523744