• DocumentCode
    503229
  • Title

    Real-time interharmonics detection and measurement based on FFT algorithm

  • Author

    Valenzuela, Javier ; Pontt, Jorge

  • Author_Institution
    Dept. of Electron., Tech. Univ. Federico Santa Maria, Valparaiso, Chile
  • fYear
    2009
  • fDate
    9-10 Sept. 2009
  • Firstpage
    259
  • Lastpage
    264
  • Abstract
    The modern power systems are supplying an increasing number of non-linear loads like: double conversion systems, arc furnaces, arc discharging, high power cycloconverter (CCV) etc. These loads are harmonics and interharmonics sources. Therefore, it is important to measure interharmonics accurately. The Fast Fourier Transform (FFT) is used for signal processing because of its computational efficiency. Most power quality meters and digital relays adopt FFT-Based algorithm to characterize harmonics of the measured signals. The International Electrotechnical Commission (IEC) standards on power quality have defined the terminology, limits and measurements guidelines for interharmonics. This paper shows effects on windowing in the interharmonics detection based on IEC technique. Simulations and experimental results based on the real-time platforms are discussed.
  • Keywords
    fast Fourier transforms; power meters; power supply quality; power system harmonics; power system measurement; FFT algorithm; Fast Fourier Transform; International Electrotechnical Commission standards; arc discharging; arc furnaces; double conversion systems; high power cycloconverter; interharmonics measurement; modern power systems; nonlinear load; power quality meters; real-time interharmonics detection; signal processing; Computational efficiency; Fast Fourier transforms; Furnaces; IEC standards; Power measurement; Power quality; Power supplies; Power system harmonics; Power system measurements; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Electronics, 2009. AE 2009
  • Conference_Location
    Pilsen
  • ISSN
    1803-7232
  • Print_ISBN
    978-80-7043-781-0
  • Type

    conf

  • Filename
    5289260