• DocumentCode
    1923300
  • Title

    Prediction of line current harmonics in an AC-DC converter using neural networks

  • Author

    Anani, Nader ; Benchebra, Dalil ; Ponnapalli, Prasad ; Natsheh, Abdel-Razzak

  • Author_Institution
    Dept. of Eng. & Technol., Manchester Metropolitan Univ., Manchester, UK
  • fYear
    2010
  • fDate
    3-5 Oct. 2010
  • Firstpage
    66
  • Lastpage
    69
  • Abstract
    A circuit topology for an AC-DC single-phase single-stage half-controlled converter with reduced line current harmonics is presented. It is shown that these harmonics are reduced below limits imposed by relevant international standards governing the generation and injection of harmonics into the distribution systems by equipment which draws current less than 16 A. The paper also demonstrates the use of a feedforward neural network (NN) for the prediction of the line current harmonics. The neural network predicted results compared favorably with the simulation results and hence were also within the limits of the harmonic regulations.
  • Keywords
    AC-DC power convertors; feedforward neural nets; power engineering computing; power system harmonics; AC-DC converter; AC-DC single phase single stage half controlled converter; feedforward neural network; line current harmonic prediction; AC-DC power converters; Artificial neural networks; Harmonic analysis; Power generation; Power harmonic filters; AC-DC converter; IEC-harmonic standards; line-current harmonics; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics & Applications (ISIEA), 2010 IEEE Symposium on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4244-7645-9
  • Type

    conf

  • DOI
    10.1109/ISIEA.2010.5679493
  • Filename
    5679493