• DocumentCode
    482420
  • Title

    Harmonic detection algorithm based on recursive filter

  • Author

    Chen, Guozhi ; Chen, Longdao ; Cai, Zhongfa

  • Author_Institution
    Coll. of Electr. Eng. Dept., Zhejiang Univ., Hangzhou
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    832
  • Lastpage
    834
  • Abstract
    Due to the problems of Fourier algorithm and wavelet algorithm on harmonic detection, proposed harmonic detection algorithm based on a recursive filter in this paper. Unlike a wavelet, the central frequency and frequency window radius of the recursive filter can be adjusted separately, the magnitude frequency property (MFP) of its real part and imaginary part is identical, symmetrical and no side lobes, moreover has no relative to the central frequency. By virtue of these attributes, it can overcome frequency spectrum leakage and fence effect of FFT, eliminate frequency bank aliasing of wavelet transform, and realize accurately detection of harmonic and interharmonic in power system. Further, a recursive algorithm is adopted that updates current output only using several previous sample values and filtering outputs. Thus, this recursive algorithm is highly desirable for real-time applications. The simulation results show that the method is able to identify numbers of harmonic and interharmonic accurately, and has highly detecting accuracy to amplitude and frequency.
  • Keywords
    Fourier transforms; power harmonic filters; power system harmonics; recursive filters; wavelet transforms; Fourier algorithm; harmonic detection algorithm; magnitude frequency property; power system interharmonics; real-time applications; recursive filter; wavelet transform algorithm; Band pass filters; Detection algorithms; Discrete Fourier transforms; Fourier transforms; Frequency; Leak detection; Power harmonic filters; Power system harmonics; Power system simulation; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4770824