Selective harmonic elimination in cascaded H-bridge multilevel inverter using genetic algorithm approach

Hosseinzadeh, Mohammad Ali; Sarbanzadeh, Maryam; Salgueiro, Yamisleydi; Rivera, Marco; Wheeler, Patrick

Abstract

Multilevel inverters are worked on medium-voltage and high-power applications due to their ability to supply high power quality output voltage. Hence, a low switching frequency strategy is applied in high power applications since it generates lower magnitudes of harmonics than high switching frequency. In this paper, to eliminate high selective harmonic in a 15-level cascaded multilevel inverter, a genetic algorithm approach is proposed. Genetic algorithm is an evolutionary algorithm to determine switching angles 15-level cascaded multilevel inverters in order to eliminate selective harmonic. This paper calculates the optimum angles as offline to eliminate harmonics 3rd, 5th,7th, 9th, 11th, 13th, 15th and 17th along with their multiples. Then, the obtained angles are applied to simulation results to validate the approach performance.

Citation

Hosseinzadeh, M. A., Sarbanzadeh, M., Salgueiro, Y., Rivera, M., & Wheeler, P. (2019, February). Selective harmonic elimination in cascaded H-bridge multilevel inverter using genetic algorithm approach. Presented at Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Australia

• Presentation Conference Type: Edited Proceedings
• Conference Name: Proceedings of the IEEE International Conference on Industrial Technology
• Start Date: Feb 13, 2019
• End Date: Feb 15, 2019
• Acceptance Date: Nov 15, 2018
• Online Publication Date: Jul 8, 2019
• Publication Date: Feb 13, 2019
• Deposit Date: Dec 21, 2018
• Publicly Available Date: Apr 14, 2019
• Peer Reviewed: Peer Reviewed
• Volume: 2019-February
• Pages: 1527-1532
• Book Title: 2019 IEEE International Conference on Industrial Technology (ICIT)
• ISBN: 9781538663776
• DOI: https://doi.org/10.1109/ICIT.2019.8755089
• Public URL: https://nottingham-repository.worktribe.com/output/1432801
• Publisher URL: https://ieeexplore.ieee.org/document/8755089
• Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
• Contract Date: Dec 21, 2018