Controlled power distributed photovoltaic system using solar energy forecast

Authors

  • D. Díaz Department of Chemical Engineering School of Engineering, University of Santiago de Compostela Author
  • J.A. Souto Department of Chemical Engineering School of Engineering, University of Santiago de Compostela Author
  • A. Rodríguez Department of Chemical Engineering School of Engineering, University of Santiago de Compostela Author
  • S. Saavedra Department of Chemical Engineering School of Engineering, University of Santiago de Compostela Author
  • J.J. Casares Department of Chemical Engineering School of Engineering, University of Santiago de Compostela Author
  • A. García-Loureiro Department of Electronics and Computer Science University of Santiago de Compostela Author
  • R. Varela CIS-Galicia, A Cabana Author
  • M.J. Rodríguez-Legarreta CIS-Galicia, A Cabana Author
  • J. Rodríguez-Aneiros CIS-Galicia, A Cabana Author

DOI:

https://doi.org/10.24084/repqj10.312

Keywords:

PV system with storage, predictive control, solar radiation forecast, FOTOV simulator

Abstract

The use of renewable energy sources to supply electricity in customer grids is a current practise in developed countries and, particularly, in the case of distributed solar energy generation grids. Even though, the environmental benefits of the practise drive to economic incentives to increase the renewable energies. However, because of the unsteady behaviour of the renewable electric energy sources [1], as wind energy and solar photovoltaic production, the increment in the use of these sources produces severe fluctuations in the electric grids. Then, their electric supply to the electric grid is limited and at the same time, an accurate renewable energy production forecast is required.

In this work, the feasibility of a new approach to reduce this problem is tested by the application (on a yearly basis) of a simulator of a production-storage controlled system, namely FOTOV, to be applied in the design of a photovoltaic (PV) installation

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Published

2024-01-16

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Section

Articles