Ricardo P. Aguilera

Also published under:R. Aguilera, Ricardo Aguilera

Affiliation

School of Electrical and Data Engineering, University of Technology Sydney, Broadway, NSW, Australia

Topic

Switching Frequency,Model Predictive Control,Optimization Problem,Control Strategy,Cost Function,Grid Voltage,Input Current,Output Current,Total Harmonic Distortion,Common-mode Voltage,Control Input,Current Reference,Current References,Model Predictive Control Strategy,Cascaded H-bridge,Grid Current,Cascaded H-bridge Converter,PI Controller,Switching States,Tracking Error,DC Voltage,Harmonic Distortion,Multilevel Converter,Output Voltage Levels,Simulation Results,Dynamic Response,Inverter Output Voltage,Microgrid,Modulation Scheme,Optimal Control Problem,Photovoltaic System,Point Of Common Coupling,Predictive Control,Voltage Stress,Weighting Factor,Artificial Neural Network,Capacitor Voltage Ripple,Computational Burden,Control System,Current Control,Dc-link Voltage,High Voltage,Maximum Power Point Tracking,Modular Multilevel Converter,Modularity Matrix,Modulation Technique,Optimal Control,Power Conversion,Power Reference,Apparent Frequency,

Biography

Ricardo P. Aguilera (Member, IEEE) received the B.Sc. degree in electrical engineering from the Universidad de Antofagasta, Antofagasta, Chile, the M.Sc. degree in electronics engineering from the Universidad Tecnica Federico Santa Maria, Valparaíso, Chile, and the Ph.D. degree in electrical engineering from The University of Newcastle (UoN), Newcastle, NSW, Australia, in 2003, 2007, and 2012, respectively.
From 2012 to 2013, he was a Research Academic with UoN, where he was a part of the Centre for Complex Dynamic Systems and Control. From 2014 to 2016, he was a Senior Research Associate with The University of New South Wales, Australia, where he was a part of the Australian Energy Research Institute. Since September 2016, he has been with the School of Electrical and Data Engineering, University of Technology Sydney, Australia, where he currently holds a Senior Lecturer position. His main research interests include theoretical and practical aspects on model predictive control with application to power electronics, renewable energy integration, and microgrids.