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A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids.
Villalón, Ariel; Muñoz, Carlos; Muñoz, Javier; Rivera, Marco.
Affiliation
  • Villalón A; Engineering Systems Doctoral Program, Faculty of Engineering, University of Talca, Campus Curicó, Curico 3344158, Chile.
  • Muñoz C; Department of Electrical Engineering, Faculty of Engineering, University of Talca, Campus Curicó, Curico 3344158, Chile.
  • Muñoz J; Estudiante de Doctorado, Departamento de Ingeniería Eléctrica, University of Jaén, Campus Lagunillas s/n, Building A3, 23071 Jaén, Spain.
  • Rivera M; Department of Electrical Engineering, Faculty of Engineering, University of Talca, Campus Curicó, Curico 3344158, Chile.
Sensors (Basel) ; 23(14)2023 Jul 11.
Article in En | MEDLINE | ID: mdl-37514583
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 (M2PC) 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 LCL filters, and sharing an RL 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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Chile Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Chile Country of publication: Switzerland