Using ANN based MPPT controller to increase PV central performance

Recently, searches for renewable energy and artificial intelligence have grown in popularity. Photovoltaic (PV) technology is an ecologically beneficial and cost-effective source of power, since it requires fewer components for maintenance than other green energy sources. Slow reaction to rapid variations in solar temperature and irradiance may render the MPP incapable of tracking. In addition, as a consequence of the deficiency of conventional approaches (P&O, IC, etc.), artificial intelligence (AI) methods such as (ANN, FLC, ANFIS, etc.) are becoming increasingly popular and are used to monitor the MPP in PV systems. Each of these methods has benefits. Utilizing the benefits of the DC-DC converter and the ANN-based MPPT controller, our work proposes a novel research and design to improve the performance and efficiency of the Ghardaia SKTM installation (Module 1) by leveraging the DC-DC converter and the MPPT controller.