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dc.contributor.author Norambuena, Margarita
dc.contributor.author Mora, Andres
dc.contributor.author Garcia, Cristian
dc.contributor.author Rodriguez, Jose
dc.contributor.author Aly, Mokhtar
dc.contributor.author Carnielutti, Fernanda
dc.contributor.author Pereda, Javier
dc.contributor.author Castillo, Cristian
dc.contributor.author Zhang, Zhenbin
dc.contributor.author Yaramasu, Venkata
dc.contributor.author Tarisciotti, Luca
dc.contributor.author Yin, Yafei
dc.date.accessioned 2025-03-07T13:50:01Z
dc.date.available 2025-03-07T13:50:01Z
dc.date.issued 2024
dc.identifier.issn 2644-1241
dc.identifier.uri https://repositorio.uss.cl/handle/uss/19120
dc.description Publisher Copyright: © 2020 IEEE.
dc.description.abstract This article presents the use of model predictive control (MPC) in multilevel inverters for some applications, such as, first, wind generation and, second, photovoltaics, showing that the particular restrictions of each of them can be very easily included in the control algorithm, which is an important advantage of this technique. Another application is in modular multilevel cascaded converters, where it is demonstrated that MPC can operate with very few calculations and fixed switching frequency. The second part of this article is dedicated to comparing MPC with linear control and pulsewidth modulation for multilevel inverters. The main comparison criteria are the switching losses, the distortion in the load current, and the number of commutations. The main conclusion is that MPC is a competitive alternative to linear control for application in multilevel inverters. en
dc.language.iso eng
dc.relation.ispartof vol. 5 Issue: Pages: 414-427
dc.source IEEE Open Journal of Industry Applications
dc.title Model Predictive Control in Multilevel Inverters Part II : Renewable Energies and Grid Applications en
dc.type Artículo
dc.identifier.doi 10.1109/OJIA.2024.3460668
dc.publisher.department Facultad de Ingeniería, Arquitectura y Diseño
dc.publisher.department Facultad de Ingeniería y Tecnología


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