Aperfeiçoamento da conversão de energia de sistemas de geração fotovoltaica sob diversas condições de sombreamento

Abstract

The need to explore and improve new sources of electricity, especially renewable energy, has led to studies on the eficiency of photovoltaic power generation in the academic world. Based on this premise, this dissertation aims to apply metaheuristics capable of adjusting the operation of the energy converter to the point of maximum power, the following shading conditions. When a photovoltaic system is subjected to these operating conditions, it has di_erent maximum power points, which are subdivided into Maximum Maximum Power Point (GMPP) and Local Maximum Power Point (LMPP) and this causes capture techniques. low power, low complexity, such as Disturb and Observe (P&O) and Incremental Conductance (IC), do not have a satisfactory response, can operate at one LMPP point, thus not extracting the photovoltaic panel at most. Therefore, there is a need to develop an eficient maximum power screening technique for any shading condition, both partial and homogeneous. To optimize a GMPP search, meta-heuristics used in bio-inspired algorithms were used, namely: Particle Swarm Optimization (PSO), Cuckoo Search (CS), GrayWolf (GWO) and Firey (FA). Besides these, hybrid metaheuristics are proposed to optimize the GMPP search process, preventing the association between two of the previous metaheuristics, as follows: PSO-CS, GWO-CS and FA-CS. All as proposed metaheuristics were implemented in the MATLAB/Simulink software (version 2018a) and subjected to six diferent partial sound conditions, with LMPPs close to GMPP, in order to evaluate the technical strategies without adjusting the converter operation to the point. Of maximum power and thus be able to classify them. The best reduced metaheuristic of this classification was then subjected to step irradiance variation tests in order to emulate a change in irradiance that occurs over the course of a day of any real photovoltaic system. In this mode, the best performance of the conversion system is sought and, consequently, a better energy utilization of the photovoltaic system, using the shading condition.