Avaliações de Desempenho de um Sistema Fotovoltaico Monofásico sob Condições de Sombreamento Parcial Baseadas em Otimizações no MPPT P&O

André Luiz de Oliveira Nunes; Evandro Ailson de Freitas Nunes

doi:10.20906/sbse.v2i1.2883

André Luiz de Oliveira Nunes Instituto Federal de Educação, Ciência e Tecnologia da Bahia
Evandro Ailson de Freitas Nunes Instituto Federal de Educação, Ciência e Tecnologia da Bahia

DOI: https://doi.org/10.20906/sbse.v2i1.2883

Keywords: Genetic Algorithm, MPPT, PSO, Single-Phase PV System, Partial Shading

Abstract

Despite the advantages as a renewable source, photovoltaic generators still have low efficiency in converting light into electricity. Furthermore, they are sensitive to variations in solar irradiance and temperature. When weather conditions are unfavorable, the greatest impact is on electricity generation, which can be significantly reduced. In order to maximize the performance of PV system, MPPT techniques have been developed. However, when a PV system is installed in places where external agents shade the photovoltaic modules, the conventional MPPT algorithms are drastically undermined. In this context, the present work aims to evaluate two optimization methods applied to a MPPT algorithm. Supported by PSIM software, algorithms are developed and a 300 Wp single-phase PV system grid- connected is presented. Simulation results demonstrate benefits and drawbacks related to the influence of optimization on the overall efficiency of this PV system.