• DocumentCode
    2674610
  • Title

    GA based optimization and critical evaluation SHE methods for three-level inverter

  • Author

    Ramkumar, S. ; Kamaraj, V. ; Thamizharasan, S.

  • Author_Institution
    Dept. of EEE, Surya Coll. of Eng. & Technol., Villupuram, India
  • fYear
    2011
  • fDate
    3-5 Jan. 2011
  • Firstpage
    115
  • Lastpage
    121
  • Abstract
    The Selective Harmonic Elimination Pulse-Width Modulation (SHE-PWM) has been an inclusive research area in the field of Power Converters. This technique offers a tight control of the harmonic spectrum of a given voltage waveform generated by a power electronic converter along with a low number of switching transitions. It involves the solution of non-linear transcendental equation sets representing the relation between the amplitude of the fundamental wave, harmonic components and the switching angles. This paper reports solutions to the Selective Harmonic Elimination (SHE) method based on novel usage of Artificial Intelligence (AI) technique such as Genetic algorithm (GA) for single-phase unipolar waveform. This paper uses Matlab GA Toolbox to generate the gate pulse pattern to eliminate the required order of harmonics at any demanded fundamental output voltage.
  • Keywords
    PWM power convertors; electrical conductivity transitions; genetic algorithms; harmonics suppression; power system harmonics; Matlab GA Toolbox; artificial intelligence technique; fundamental wave amplitude; gate pulse pattern; genetic algorithm; harmonic spectrum; nonlinear transcendental equation; optimization; power electronic converter; selective harmonic elimination pulse-width modulation; single-phase unipolar waveform; switching transition; three-level inverter; voltage waveform; Equations; Gallium; Genetic algorithms; Harmonic analysis; Inverters; Modulation; Switches; GA Toolbox; SHE-PWM; SPWM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Energy Systems (ICEES), 2011 1st International Conference on
  • Conference_Location
    Newport Beach, CA
  • Print_ISBN
    978-1-4244-9732-4
  • Type

    conf

  • DOI
    10.1109/ICEES.2011.5725313
  • Filename
    5725313