Asynchronous particle swarm optimization-genetic algorithm (APSO-GA) based selective harmonic elimination in a cascaded h-bridge multilevel inverter

Memon, Mudasir Ahmed and Siddique, Marif Daula and Mekhilef, Saad and Mubin, Marizan (2022) Asynchronous particle swarm optimization-genetic algorithm (APSO-GA) based selective harmonic elimination in a cascaded h-bridge multilevel inverter. IEEE Transactions on Industrial Electronics, 69 (2). pp. 1477-1487. ISSN 0278-0046, DOI https://doi.org/10.1109/TIE.2021.3060645.

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Abstract

In this article, a hybrid asynchronous particle swarm optimization-genetic algorithm (APSO-GA) is proposed for the removal of unwanted lower order harmonics in the cascaded H-bridge multilevel inverter (MLI). The APSO-GA is applicable to all levels of MLI. In the proposed method, ring topology based APSO is hybrid with GA. APSO is applied for exploration and GA is used for the exploitation of the best solutions. In this article, optimized switching angles are calculated using APSO-GA for seven-level and nine-level inverter, and results are compared with GA, PSO, APSO, bee algorithm (BA), differential evolution (DE), synchronous PSO, and teaching-learning-based optimization (TLBO). Simulation results show that APSO-GA can easily find feasible solutions particularly when the number of switching angles is high; however, the rest of all stuck at local minima due to less exploration capability. Also, the APSO-GA is less computational complex than GA, BA, TLBO, and DE algorithms. Experimentally, the performance of APSO-GA is validated on a single-phase seven-level inverter.

Item Type: Article
Funders: Ministry of Higher Education, Malaysia under the Project Large Research Grant Scheme [LRGS/1/2019/UKM/01/6/3]
Uncontrolled Keywords: Harmonic analysis; Switches; Genetic algorithms; Convergence; Multilevel inverters; Particle swarm optimization; Optimization; Genetic algorithm (GA); multilevel inverter (MLI); Particle swarm optimization (PSO); Selective harmonic elimination pulse width modulation (SHEPWM)
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 08 Aug 2022 01:29
Last Modified: 08 Aug 2022 01:29
URI: http://eprints.um.edu.my/id/eprint/33428

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