Calculation of Optimal Switching Angles for a Multilevel Inverter Using NR, PSO, and GA- a Comparison

Marín-Reyes, Manuel and Aguayo-Alquicira, Jesus and De León Aldaco, Susana Estefany UNSPECIFIED (2020) Calculation of Optimal Switching Angles for a Multilevel Inverter Using NR, PSO, and GA- a Comparison. European Journal of Electrical Engineering, 22 (4-5). pp. 349-355. ISSN 21033641

Preview

Text
22.4-5_06.pdf - Accepted Version
Download (1MB) | Preview

Official URL: http://doi.org/10.18280/ejee.224-506

Abstract

Currently, multilevel inverters have been increased the number of applications in the industrial sector and renewable energy sources. Among its characteristics, the most remarkable are modular design, high performance, and low harmonic distortion in the output voltage waveform. For this paper, a single-phase Cascade H-Bridge Multilevel Inverters (CHB-MLI or CMLI) topology with independent DC sources, has been selected for the case study. Analyzing three scenarios: 5-level, 7-level, and 9-level applying the concept of the Optimized Harmonic Stepped-Waveform (OHSW) and comparing the results between the Selective Harmonic Eliminated-Pulse Width Modulation (SHE-PWM) and the Optimal Minimization of the Total Harmonic Distortion (OMTHD) are also presented. To compare the results obtained with classical and nature-inspired optimization methods, three techniques are used to solve transcendental nonlinear equations for the problem of Total Harmonic Distortion (THD) minimization: Newton Raphson (NR), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), which have been widely used for the problems of THD minimization in multilevel inverters.

Item Type:	Article
Uncontrolled Keywords:	cascade multilevel inverter, total harmonic distortion, optimization, genetic algorithm, Newton-Raphson, particle swarm optimization
Subjects:	Subjects > Engineering
Divisions:	Ibero-american International University > Research > Scientific Production
Depositing User:	Sr Bibliotecario
Date Deposited:	02 Jun 2022 10:48
Last Modified:	02 Jun 2022 10:48
URI:	http://repositorio.funiber.org/id/eprint/2233

Actions (login required)

View Item