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
Link To Document :
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