Maximum Power Point Tracking in Solar PV Under Partial Shading Conditions Using Stochastic Optimization Techniques

In this paper, the performances of two stochastic algorithms (i.e., Particle Swarm optimization-PSO and Firefly algorithm-FA) in tracking the maximum power point in solar PV under partial shading are investigated. Simulation results show that PSO and FA based trackers guarantee the convergence of MPPT algorithm to the global maximum power point. However, FA is simpler to implement (less control parameters), and it can be made to converge easily to the global maximum power point compared to PSO.