Estudo de Otimizadores Globais para Sistemas Fotovoltaicos com Sombreamento Parcial
Authors
Lucas C. G. S. Garcia
Programa de Pós-graduação em Engenharia Eletrônica, Universidade do Estado do Rio de Janeiro, RJ.
Cleiton M. Freitas
Programa de Pós-graduação em Engenharia Eletrônica, Universidade do Estado do Rio de Janeiro, RJ; Departamento de Engenharia Elétrica, Universidade do Estado do Rio de Janeiro, RJ.
Luís Fernando C. Monteiro
Programa de Pós-graduação em Engenharia Eletrônica, Universidade do Estado do Rio de Janeiro, RJ.
Global Maximum Power Point Tracking, Photovoltaic System, Ant Colony Optimization, Particle Swarm Optimization, Bio Inspired Intelligent Systems, Partial Shading
Abstract
This article analyzes different Global Maximum Power Point Tracking (Global - MPPT) Techniques. The first one is known as the ant colony optimization(ACO), including a detailed flowchart, whereas the second comprehends the Particle Swarm Optimization (PSO). In sequence, considering both optimization techniques, there are simulation results involving a photovoltaic system for the case of partial shading conditions. In both cases, the global MPPT was achieved under different transient performances. Finally, it follows a brief discussion about the advantages and disadvantages of both optimization techniques.
