Multi-objective optimization of fuzzy MPPT using improved strength Pareto evolutionary algorithm
Résumé
With the exception of a few simple applications, all photovoltaic (PV) conversion systems have a maximum power point tracking (MPPT) unit which allows an optimal extraction of power. In this paper, the fuzzy logic controller and evolutionary methods are combined to obtain an efficient MPPT unit with a fast response in transient state and minimal errors in steady state. The proposed combination shows a good performance in simulation and offers a varied set of MPPT controllers.