Optimisation d'un système photovoltaïque adapté par une commande MPPT basée sur les algorithmes intelligents

Solar PV systems are considered in this study and exhibited cost-effectiveness and better efficiency. For controlling the photovoltaic power, DC-DC buck converter has utilized in this thesis. Further, the Maximum Power Point Tracking (MPPT) mechanism is used in order to attain maximum efficiency. The main energy characteristics are analyzed and the mathematical models of the components of an autonomous PV system are developed to study the modes of tracking the MPP. The necessary conditions for matching the parameters of the PV and the DC-DC buck converter are evaluated to track the MPP. This thesis aims to create an original method and algorithm for calculating and selecting parameters of the main elements of a PV stations. The optimal value of the sampling time of the MPP controller is obtained for different schemes of the PV system. This research aims to increase the efficiency of the PV system by applying the improved particle swarm optimization (IPSO), perturb and observe (P&O), and incremental conductance algorithm in different cases of the operations. The simulation of dynamic modes of an autonomous photovoltaic (PV) station is performed in the MATLAB/SIMULINK software package. The simulation results of dynamic operations of the PV system show that the voltage converter and the MPP controller with the selected parameters according to the proposed method provide reliable and effective tracking of the MPP in all different connections of the PV systems.