An improved search ability of particle swarm optimization algorithm for tracking maximum power point under shading conditions

Introduction. Extracting maximum possible power from solar energy is a hot topic of the day as other sources have become costly and lead to pollution. Problem. Dependency on sunlight for generation makes it unfeasible extract power. Environmental conditions like shading, partial shading weak are major aspect due which output photovoltaic systems greatly affected. Partial most known issue. Goal. There been many proposed techniques algorithms resources by use arrays but every technique has had some shortcomings that couldn’t serve complete purpose. Methodology. Nature inspired proven be good search global in partially shaded multipeak curve includes particle swarm optimization, artificial bee colony algorithm, flower pollination algorithm. Methods. Particle optimization algorithm best among these finding peaks with less oscillation around point, complexity, easy implement nature. disadvantage having long computational time converging speed, particularly under strong conditions. Originality. In this paper, an improved opposition based track point module. Simulation studies carried out MATLAB/Simulink R2018a. Practical value. proved more efficient, complex, robust, flexible better convergence speed than perturb observe hill climbing incremental conductance