Commandes Avancées des Convertisseurs Utilisés dans les Systèmes Photovoltaïques

Abstract

Recently, photovoltaic energy is the most important renewable energy sources to replace the use of the fossil fuel for electricity generation. The efficiency of solar cells depends on many factors, such as temperature, insulation, the spectral characteristics of the sunlight and the presence of dirt and shadows. Rapidly changing atmospheric conditions can reduce the photovoltaic (PV) array output power and subsequently reduce the performance of the photovoltaic system. Due to these disadvantages, an efficient design for a PV system is necessary. Therefore, to make PV generation efficient, a competent effective maximum power point tracking (MPPT) technique is required to predict and to track the MPP under any weather conditions and fix the operating point of the PV system at the MPP. The main purpose of this work is to develop and implement the MPPT algorithms which can track the MPP under any weather conditions and therefore increase PV system efficiency. In this thesis, three new MPPT algorithms have been proposed to track the MPP under any weather conditions (even under partial shading conditions). Several simulation and experimental results of the proposed MPPT algorithms have been obtained under using Simulink/Matlab and on the real systems dspace 1104. The proposed methods are able to improve the tracking efficiency and eliminate several disadvantages of the methods previously proposed in the literatures.