Total Harmonic Distortion Reduction in Multilevel Inverters through the Utilization of the Moth–Flame Optimization Algorithm

This paper shows the implementation of the Moth–Flame Optimization algorithm in a Cascade-H multilevel inverter with five and seven levels to determine the optimal switching sequence of the inverter’s semiconductor devices. The algorithm was coded in Matlab software, and the obtained switching seque...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences Vol. 13; no. 21; p. 12060
Main Authors: Lopez, Adolfo R., López-Núñez, Oscar A., Pérez-Zúñiga, Ricardo, Gómez Radilla, Jair, Martínez-García, Mario, López-Osorio, Maria A., Ortiz-Torres, Gerardo, Mena-Enriquez, Mayra G., Ramos-Martinez, Moises, Mixteco-Sánchez, Juan Carlos, Torres-Cantero, Carlos Alberto, Sorcia-Vázquez, Felipe D. J., Rumbo-Morales, Jesse Y.
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-11-2023
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper shows the implementation of the Moth–Flame Optimization algorithm in a Cascade-H multilevel inverter with five and seven levels to determine the optimal switching sequence of the inverter’s semiconductor devices. The algorithm was coded in Matlab software, and the obtained switching sequences were implemented in a Cascade-H multilevel inverter laboratory prototype, where the output voltage waveform was obtained using a digital oscilloscope. The experimental Total Harmonic Distortion was obtained using a power quality analyzer. The experimental results show the improvement of the Total Harmonic Distortion in the voltage output. These results were compared with other papers in the literature with different metaheuristic methods concerning the same modulation. These findings demonstrate the feasibility of employing the Moth–Flame Optimization Algorithm to significantly reduce the Total Harmonic Distortion, obtaining a lower value than most analyzed papers.
ISSN:2076-3417
2076-3417
DOI:10.3390/app132112060