Modeling and simulation of energy systems using an artificial intelligence technique

Abstract

The use of the sun as an energy source has gained a lot of attention over the past few years and the use of sunlight in particular for energy production is a major topic that generates great importance in the use of clean renewable energy. For a good study of PV cells, an equivalent electrical circuit has been made based on diodes to represent the PN junction of the chemical cell, it is a current source in parallel with a diode (case of a single diode model). The main goal of this Master's thesis is to optimize the performance of PVs using a metaheuristic optimization method when the mathematical equation of the equivalent circuit of the PV is already known. In addition, we solve some PV problems based on artificial intelligence techniques combined with an optimization algorithm to predict the model and the output of the cell.