Résumé:
Solar photovoltaic energy is a clean, sustainable and inexhaustible source of electrical energy production, making it a promising alternative to fossil fuels in energy transition and avoiding environmental damage resulting from the combustion of fossil fuels. However, the PV energy production systems remains to this day uncompetitive due to the high cost of solar cells and low conversion efficiency. To increase the efficiency of PV systems, MPPT control algorithms are developed to ensure the full exploitation of available solar energy. This thesis proposes two new MPPT control approaches to improve the efficiency of energy transfer in a standalone PV system:
Design of a robust MPPT controller based on T-S fuzzy model approach with H_2⁄H_∞ performance and taking into account the problem of actuator saturation.
Development of a saturate robust MPPT controller based on polynomial SOF control approach, which enables for system cost reduction by reducing the number of sensors required.
The effectiveness of the proposed MPPT control system was verified under different climatic conditions, through Matlab/Simulink simulations and numerical comparisons to many different approaches. The obtained results were satisfactory, and confirmed that the proposed controllers provide high performance, allowing full exploitation of the solar energy.
