Predictive Control with Current-Based Maximum Power Point-Tracking for On-Grid Photovoltaic Applications

Carlos Muñoz, Marco Rivera, Ariel Villalón, Carlos R. Baier, Javier Muñoz, Roberto O. Ramirez and Patrick Wheeler
Additional contact information
Carlos Muñoz: Energy Conversion Master Program, Faculty of Engineering, University of Talca, Curicó 3344158, Chile
Marco Rivera: Department of Electrical Engineering, Faculty of Engineering, University of Talca, Curicó 3344158, Chile
Ariel Villalón: Engineering Systems Doctoral Program, Faculty of Engineering, University of Talca, Curicó 3344158, Chile
Carlos R. Baier: Department of Electrical Engineering, Faculty of Engineering, University of Talca, Curicó 3344158, Chile
Javier Muñoz: Department of Electrical Engineering, Faculty of Engineering, University of Talca, Curicó 3344158, Chile
Roberto O. Ramirez: Department of Electrical Engineering, Faculty of Engineering, University of Talca, Curicó 3344158, Chile
Patrick Wheeler: Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK

Sustainability, 2021, vol. 13, issue 6, 1-19

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.

Keywords: photovoltaic; predictive control; current-based MPPT (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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