Carlos Mu�oz
Predictive Control with Current-Based Maximum Power Point-Tracking for On-Grid Photovoltaic Applications
Mu�oz, Carlos; Rivera, Marco; Villal�n, Ariel; Baier, Carlos R.; Mu�oz, Javier; Ramirez, Roberto O.; Wheeler, Patrick
Authors
Marco Rivera
Ariel Villal�n
Carlos R. Baier
Javier Mu�oz
Roberto O. Ramirez
Professor PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems
Abstract
The high increase of renewable energy sources and the increment of distributed generation in the electrical grid has made them complex and of variable parameters, causing potential stability problems to the PI controllers. In this document, a control strategy for power injection to the electrical system from photovoltaic plants through a voltage source inverter two-level-type (VSI-2L) converter is proposed. The algorithm combines a current-based maximum power point-tracking (Current-Based MPPT) with model predictive control (MPC) strategy, allowing avoidance of the use of PI controllers and lowering of the dependence of high-capacitive value condensers. The sections of this paper describe the parts of the system, control algorithms, and simulated and experimental results that allow observation of the behavior of the proposed strategy.
Citation
Muñoz, C., Rivera, M., Villalón, A., Baier, C. R., Muñoz, J., Ramirez, R. O., & Wheeler, P. (2021). Predictive Control with Current-Based Maximum Power Point-Tracking for On-Grid Photovoltaic Applications. Sustainability, 13(6), 3037. https://doi.org/10.3390/su13063037
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 5, 2021 |
Online Publication Date | Mar 10, 2021 |
Publication Date | Mar 10, 2021 |
Deposit Date | Apr 23, 2021 |
Publicly Available Date | Apr 23, 2021 |
Journal | Sustainability |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 13 |
Issue | 6 |
Pages | 3037 |
DOI | https://doi.org/10.3390/su13063037 |
Keywords | Renewable Energy, Sustainability and the Environment; Geography, Planning and Development; Management, Monitoring, Policy and Law |
Public URL | https://nottingham-repository.worktribe.com/output/5394394 |
Publisher URL | https://www.mdpi.com/2071-1050/13/6/3037/htm |
Additional Information | Muñoz, C., Rivera, M., Villalón, A., Baier, C. R., Muñoz, J., Ramirez, R. O., & Wheeler, P. (2021). Predictive Control with Current-Based Maximum Power Point-Tracking for On-Grid Photovoltaic Applications. Sustainability, 13(6), 3037. https://doi.org/10.3390/su13063037 |
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Predictive Control with Current-Based Maximum Power Point-Tracking for On-Grid Photovoltaic Applications
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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