Diseño e implementación de un control basado en redes neuronales artificiales para la posición optima de paneles solares de un sistema fotovoltaico en la escuela primaria Camino al Espacio

Abstract

This project focuses on a problem that photovoltaic systems have. In general, in these systems, the solar panels are usually installed with a certain angle of inclination, to try to take advantage of the maximum radiation from the sun, but this will only be efficient for certain hours, since the movement of the earth with respect to the sun makes that the angles of projection of solar radiation towards the panel are different, and therefore a large part of it is wasted. It is based on this that the idea of carrying out a Technical Project arose and using the control applications that have the design and implementation of artificial neural networks, and the way in which these can be used to make a photovoltaic system more efficient. To be specific, a solar tracker was created in a photovoltaic panel so that it follows the sun at all hours of solar irradiation, increasing and improving energy storage towards a storer. This solar tracker will be implemented with a control based on artificial neural networks.