• DocumentCode
    1869302
  • Title

    Filtering out spikes from sensors in power converters system using discrete wavelet transform

  • Author

    Mohammad, Hassan ; Diduch, C.P. ; Biletskiy, Yevgen ; Liuchen Chang

  • Author_Institution
    Univ. of New Brunswick, Fredericton, NB, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Power converters are widely used to control the power energy generated by distributed generators in power grids. The operation of power converters involves monitoring and adjustment of voltage and current by power devices, which are switching rapidly. The rapid switching causes spikes that can result in the false detection of voltage faults. This present paper describes a method to detect and remove spikes from power converter sensors that allows power converter to be not affected. The methodology behind the present work is the use of discrete wavelet transform enabling spike detection and removal.
  • Keywords
    discrete wavelet transforms; distributed power generation; fault diagnosis; power control; power convertors; power grids; sensors; discrete wavelet transform; distributed generators; false detection; power converter sensors; power converters system; power devices; power energy control; power grids; spike detection; spike removal; spikes filtering; voltage faults; Current measurement; Discrete wavelet transforms; Field programmable gate arrays; Filter banks; Finite impulse response filter; Sensors; Discrete Wavelet Transform; FPGA; Fault Detection; Filters; Power Converter; Spike;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6334968
  • Filename
    6334968