Resumen

OSPINO CASTRO, Adalberto; ROBLES ALGARIN, Carlos  y  DURAN PABON, Alejandro. Modeling and simulation of a photovoltaicpanel using artificial intelligence techniques. Energética [online]. 2014, vol.35, n.3, pp.225-233. ISSN 1815-5901.

The paper presents the modeling of the energy behavior and determination of equivalent circuit parameters for a photovoltaic panel using artificial intelligence techniques. For this purpose, it was performed a genetic algorithm in Matlab, which calculates the physical parameters not provided by manufacturers to implement mathematical functions that approve the dynamic behavior of a solar panel. In addition, the algorithm can determine the efficiency of the maximum power point tracking algorithm of the inverter, which is a parameter of not simple obtaining or not determined under field conditions. Finally, the algorithm was successfully tested in a monocrystalline solar 50W panel with excellent results, compared to the experimental model for different levels of solar irradiation. The results demonstrate that the developed process is a tool that can be applied to photovoltaic panels under field conditions

Palabras clave : genetic algorithm; artificial intelligence; solar panel; maximum power point; solar radiation.

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