• DocumentCode
    938529
  • Title

    Robust and frequency-adaptive measurement of peak value

  • Author

    Karimi-Ghartemani, Masoud ; Iravani, M. Reza

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada
  • Volume
    19
  • Issue
    2
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    481
  • Lastpage
    489
  • Abstract
    A new approach for measuring the peak value of the fundamental component of a distorted sinusoidal signal for power system applications is presented. The method is applicable to single-phase as well as three-phase systems. While maintaining structural simplicity, the proposed approach is highly robust with respect to noise and distortion due to disturbances and unbalanced conditions of the system. The method is also highly tolerant of uncertainties in the setting of its internal parameters. The salient feature of the proposed approach is its capability of adapting to the variations in the center frequency of the input signal. The method is suitable for environments that frequency excursions are experienced and conventional discrete Fourier transform (DFT)-based methods do not provide satisfactory results. Speed and accuracy of the response can also be controlled. Structural simplicity and robustness of the proposed scheme make it well suited for digital implementation on software and hardware platforms. Performance of the proposed method is presented based on simulation studies in the MATLAB environment and an experimental setup.
  • Keywords
    amplitude estimation; discrete Fourier transforms; interference (signal); phase locked loops; signal detection; DFT; MATLAB; amplitude measurement; discrete Fourier transform; distorted sinusoidal signal; frequency-adaptive measurement; peak value measurement; robust measurement; Application software; Discrete Fourier transforms; Distortion measurement; Frequency measurement; Hardware; Noise robustness; Power measurement; Power system measurements; Power system simulation; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2004.824764
  • Filename
    1278399