Optimisation d'un système autonome (éolienne-photovoltaïque)

Abstract

This thesis addresses the subject of a hybrid photovoltaic/wind system connected with a battery is designed to maximize energy efficiency by combining two renewable sources of electricity production. The system uses both solar panels and wind turbines to capture natural energy from the sun and wind. This energy is converted into electricity and stored in a battery for later use. This work focuses on developing a method to control direct current (DC) bus voltage in a hybrid multi-source power conversion (SCEM) system. This system integrates several renewable energy sources. The proposed method uses converters (Chopper, Inverter) to efficiently manage and stabilize the (DC) bus voltage, thus ensuring optimal integration of different renewable energy sources to power a variable load. The optimization of this system is based on several aspects: 1- Production management: An algorithm is implemented to optimize energy production based on changing weather conditions. Control algorithms adjust the load distribution between solar panels and wind turbines to maximize total energy production. 2- Efficient energy storage: The battery plays a crucial role in the system by storing excess energy produced during peak production periods. This stored energy is then used to power loads when there is little or no energy production, ensuring continuous power. 3- Variable load management: The system is designed to supply a variable load, which means it must adapt to fluctuations in energy demand. This requires careful planning to properly size the system and ensure stable power even when demand varies. By combining these elements, the optimization of a hybrid photovoltaic/wind system with battery makes it possible to maximize the use of renewable energies, reduce dependence on fossil fuels and provides a stable and sustainable source of electricity.