A MPPT Algorithm based on PSO for PV Array Under Partially Shaded Condition

Maximum power point tracking (MPPT) is a basic and indispensable requirement for photovoltaic(PV) systems under normal irradiance and under partial shading conditions (PSCs). Although the perturb and observe algorithm is effective under normal conditions, it fails to recognize the global maximum power point(GMPP) under the PSC. This paper describes a novel MPPT method for a photovoltaic (PV) array based on the particle swarm optimization (PSO) method. The improved control scheme eliminates power oscillation of conventional PSO methods, achieves fast tracking capability under PSC and dynamic tracking capability under changing circumstance. Simulation study is carried out using MATLAB/SIMULINK and compared with the conventional Particle Swarm Optimization algorithm ，which demonstrates the higher effectiveness and rapidity of the improved method.