Resumen de Providing an optimized and new method for tracking the maximum power point of solar cell power using the neural network
Mohammad Ali Tamayol, Hamid Reza Abbasi, Sina Salmanipour
The need for substituting clean energies with fossil fuels has led humans to use renewable energies, including solar energy for its numerous reasons. But what's important here is finding ways to maximize the power of these energy converters. In this paper, new methods have been developed to obtain maximum power from cell and cell simulation by describing some of the applications of neural networks. The advantages of these methods include system optimization, estimation of the parameters of internal structure of cell and cellular components in a mathematical way, more precision in estimating the maximum power point and higher tracking speed in solar cells. Eventually, all of the above mentioned items have been simulated very accurately using MATLAB software.
