Orientação: Mouhaydine Tlemcani
This thesis focuses on the modeling and simulation of photovoltaic electric energy conversion systems, that considering different internal and environmental parameters, important for the forecast of the electric energy production. For the cell or panel modeling, the single diode five-parameter model is used. The internal parameters considered are the photocurrent, the cell temperature, the ideality factor, the series resistance, the shunt resistance and the saturation current; and on the other hand the external parameters considered are solar irradiance, ambient temperature and wind speed. New contributions are presented in the context of the modeling and simulation of the error function that identifies the more and less sensitive internal parameters of the cell model and the sensitivity of the external parameters. In the context of obtaining the experimental results, a monocrystalline silicon photovoltaic panel is used. And a signal generator, data acquisition device, an anemometer, a pyranometer and a sensor for measuring the ambient temperature are used. In the context of internal relation between external parameters, correlation studies are performed in order to show the relationships between them; and the obstacle concept is presented as a generalization of shadow types, namely dust and elements that reduce solar irradiance on the surface of the cell or panel.