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A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids

Microgrids represent a promising energy technology, because of the inclusion in them of clean and smart energy technologies. They also represent research challenges, including controllability, stability, and implementation. This article presents a dSPACE-control-platform-based implementation of a fi...

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Detalles Bibliográficos
Autores principales: Villalón, Ariel, Muñoz, Carlos, Muñoz, Javier, Rivera, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383932/
https://www.ncbi.nlm.nih.gov/pubmed/37514583
http://dx.doi.org/10.3390/s23146288
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author Villalón, Ariel
Muñoz, Carlos
Muñoz, Javier
Rivera, Marco
author_facet Villalón, Ariel
Muñoz, Carlos
Muñoz, Javier
Rivera, Marco
author_sort Villalón, Ariel
collection PubMed
description Microgrids represent a promising energy technology, because of the inclusion in them of clean and smart energy technologies. They also represent research challenges, including controllability, stability, and implementation. This article presents a dSPACE-control-platform-based implementation of a fixed-switching-frequency modulated model predictive control (M [Formula: see text] PC) strategy, as an inner controller of a two-level, three-phase voltage source inverter (VSI) working in an islanded AC microgrid. The developed controller is hierarchical, as it includes a primary controller to share the load equally with the other power converter with its own local modulated predictive-based controller. All details of the implementation are given for establishing the dSPACE-based implementation of the control on a dSPACE ds1103 control platform, using MATLAB/Simulink for the controller design, I/O implementation and configuration with the embedded dSPACE’s real-time interface in Simulink, and then using the ControlDesk software for monitoring and testing of the real plant. The latter consists of the VSI operating with  [Formula: see text]  filters, and sharing an  [Formula: see text]  load with a paralleled VSI with exactly the same controller. Finally, the obtained experimental waveforms are shown, with our respective conclusions representing this work, which is a very valuable tool for helping microgrid researchers implement dSPACE-based real-time simulations.
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spelling pubmed-103839322023-07-30 A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids Villalón, Ariel Muñoz, Carlos Muñoz, Javier Rivera, Marco Sensors (Basel) Article Microgrids represent a promising energy technology, because of the inclusion in them of clean and smart energy technologies. They also represent research challenges, including controllability, stability, and implementation. This article presents a dSPACE-control-platform-based implementation of a fixed-switching-frequency modulated model predictive control (M [Formula: see text] PC) strategy, as an inner controller of a two-level, three-phase voltage source inverter (VSI) working in an islanded AC microgrid. The developed controller is hierarchical, as it includes a primary controller to share the load equally with the other power converter with its own local modulated predictive-based controller. All details of the implementation are given for establishing the dSPACE-based implementation of the control on a dSPACE ds1103 control platform, using MATLAB/Simulink for the controller design, I/O implementation and configuration with the embedded dSPACE’s real-time interface in Simulink, and then using the ControlDesk software for monitoring and testing of the real plant. The latter consists of the VSI operating with  [Formula: see text]  filters, and sharing an  [Formula: see text]  load with a paralleled VSI with exactly the same controller. Finally, the obtained experimental waveforms are shown, with our respective conclusions representing this work, which is a very valuable tool for helping microgrid researchers implement dSPACE-based real-time simulations. MDPI 2023-07-11 /pmc/articles/PMC10383932/ /pubmed/37514583 http://dx.doi.org/10.3390/s23146288 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Villalón, Ariel
Muñoz, Carlos
Muñoz, Javier
Rivera, Marco
A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids
title A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids
title_full A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids
title_fullStr A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids
title_full_unstemmed A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids
title_short A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids
title_sort detailed dspace-based implementation of modulated model predictive control for ac microgrids
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383932/
https://www.ncbi.nlm.nih.gov/pubmed/37514583
http://dx.doi.org/10.3390/s23146288
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