• DocumentCode
    1459900
  • Title

    Generalized Likelihood Ratio Test for Voltage Dip Detection

  • Author

    Moschitta, Antonio ; Carbone, Paolo ; Muscas, Carlo

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Univ. of Perugia, Perugia, Italy
  • Volume
    60
  • Issue
    5
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    1644
  • Lastpage
    1653
  • Abstract
    An alternative detection algorithm, based on the generalized likelihood ratio test (GLRT), is proposed for the detection of voltage dips in power systems. The proposed method is compared to the classical approaches based on the voltage root mean square. It is shown that the GLRT may provide competitive performance in terms of capability of correctly detecting the dip starting instant. A DSP-based experimental setup for the implementation of the method is also presented.
  • Keywords
    least mean squares methods; power supply quality; power system faults; DSP; GLRT; generalized likelihood ratio test; power systems; voltage dip detection; voltage root mean square; Detectors; Estimation; Harmonic analysis; Noise; Threshold voltage; Voltage fluctuations; Wavelet analysis; Detection; IEC 61000-4-30; generalized likelihood ratio test (GLRT); power quality (PQ); voltage dips;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2011.2113110
  • Filename
    5720522