GA Optimized Weighted Random Pulse Width Modulation Approach for the Elimination of Harmonic Distortion for Multilevel Inverters
Kiran T. S1, Bisharathubeevi A2, K. N. Pavithran3
1Kiran T. S, Ph.D Scholar, Department of Electronics and Electrical Engineering, College of Engineering Trivandrum (Kerala), India.
2Bisharathubeevi A, Professor, Department of Electronics and Electrical Engineering, College of Engineering Trivandrum (Kerala) India.
3K. N. Pavithran, Dean, PRS College of Engineering and Technology, Professor (Rtd.), Department of Electronics and Electrical Engineering, College of Engineering Trivandrum (Kerala), India.
Manuscript received on 18 April 2018 | Revised Manuscript received on 27 April 2018 | Manuscript published on 30 April 2018 | PP: 78-84 | Volume-7 Issue-4, April 2018 | Retrieval Number: D5352047418/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes an optimized weighted random pulse width modulation (WRPWM) scheme for multilevel power converters, for the elimination of harmonic distortion present at the output of the converter. In weighted random pulse width modulation, the PWM signal is generated by comparing random binary numbers with the fundamental reference signal. The proposed optimized WRPWM strategy provides an improved performance over traditional random pulse width modulation schemes for multilevel inverters. A binary valued Genetic algorithm (GA) is employed for the optimization process. The total harmonic distortion (THD) is taken as the performance index for optimization. Simulation results of optimized WRPWM scheme for a three-level and five-level inverters are presented in this paper.
Keywords: Genetic Algorithm (GA), Random pulse width modulation (RPWM), Total Harmonic Distortion (THD), Weighted Random Pulse Width Modulation (WRPWM).
Scope of the Article: Algorithm Engineering