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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Carlos Muñoz & Marco Rivera & Ariel Villalón & Carlos R. Baier & Javier Muñoz & Roberto O. Ramirez & Patrick Wheeler, 2021. "Predictive Control with Current-Based Maximum Power Point-Tracking for On-Grid Photovoltaic Applications," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3037-:d:514428
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    Citations

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    Cited by:

    1. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.

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