• DocumentCode
    55216
  • Title

    Reduction of Noise in Measurements of Phasor Angles by Using Two Digital Filters

  • Author

    Hwang, Jin Kwon

  • Author_Institution
    Dept. of Fire Protection & Safety Eng., Woosuk Univ., Wanju, South Korea
  • Volume
    29
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    52
  • Lastpage
    60
  • Abstract
    An electric power system is monitored and controlled on the basis of its phasor information, such as amplitude, phase angle, and frequency. This phasor can be measured through discrete Fourier transform (DFT) coefficients of its positive nominal frequency. Then, the frequency estimate can be calculated from time variation of the measured phasor angle. The accuracy of the phasor-angle measurement and the frequency estimation are severely affected by noise in the power system signal and the leakage of the negative fundamental frequency in DFT. This paper proposes a DFT-based phasor-angle measurement algorithm to cope with both the noise effect and the leakage effect. In addition, a frequency estimation algorithm is developed to use the same technique in the phasor-angle measurement algorithm. These algorithms introduce two digital filters for the reduction of the noise effect. The effectiveness of the proposed algorithm in the noise effect reduction is verified through simulations.
  • Keywords
    Fourier transforms; digital filters; measurement errors; noise; phasor measurement; digital filter; discrete Fourier transform coefficient; electric power system; frequency estimation algorithm; measurements noise reduction; phasor angle measurement; phasor information; positive nominal frequency; Bandwidth; Discrete Fourier transforms; Frequency estimation; Noise; Noise measurement; Power systems; Digital bandpass filter; discrete Fourier transform (DFT); frequency estimation; leakage effect; noise reduction; phasor-angle measurement;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2013.2295416
  • Filename
    6708470