Approches D’optimisation Pour L’estimation Des Paramètres Et Suivi Du Point De Puissance Maximale (mppt) Du Système Photovoltaïque

Résumé: Improvement techniques are widely applied in various engineering fields, such as modeling, identification, improvement, prediction and control of complex systems. This research work presents effective optimization methods used to control photovoltaic power generation systems. This thesis has two main objectives : • The estimation and extraction of the electrical parameters of the photovoltaic models used To improve the efficiency and the precision of the performance of the PV system under the different climatic conditions, for this we have proposed methods for improving the swarm of particles (PSO). The results of the simulation show the efficiency and the speed of this last method (PSO) to solve these problems. • Maximum Power Point Tracking (MPPT) is a method used to obtain the maximum available energy from photovoltaic devices in different weather conditions. A new model based on the two-stage MPPT strategy is proposed in this work, aiming to combine offline maximum power estimation using an improved newten-raphson model with the online adaptive Perturb & Observe (P&O) method. The simulation results show that the proposed MPPT method is able to locate the operating point at MPP under different environmental conditions.

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