Adaptive Algorithm for Solar Tracking in Photovoltaic Power Plants
The diversity of the energy matrix in the world is one of the challenges demanding for new researches with alternative energy sources to bring exibility and sustainability in their use. According with this panorama, the generation of electric energy with solar photovoltaic systems emerges as an important goal, and its technology is constantly advancing as an immediate solution for this quest of diversity. This paper presents a predictive control for a solar tracking algorithm to be used in single or double axis photovoltaic systems. The main characteristic and contribution of this algorithm represents a functional technological innovation because it does not use any sensors to determine the position of the Sun with respect to the panel. Such algorithm avoids unnecessary movements in cases of shadows on the panels caused by clouds, or some animal that could interfere on systems using the conventional sensors. The proposed solar time algorithm was tested and compared with eld values, predicting the correct Sun position with accuracy of less than 1o. The qualitative and quantitative results presented here evidenced the real gain of the proposed algorithm-based system without any sensors to increase the generation gain of photovoltaic power plants.