Intelligent control techniques for maximum power point tracking in wind turbines

Maximum power point tracking (MPPT) is an essential stage in the operation of wind turbines to ensure efficient power generation. In recent years, advanced control techniques have been designed and applied to achieve this objective, solving some of the limitations of classical methods. This article provides an overview of existing strategies and describes some specific control configurations in more detail, explaining their usefulness and providing a basis for future developments. Specifically, it includes control techniques based on artificial intelligence for the study of MPPT control in wind turbines. Two intelligent control strategies are exemplified: a neural network and a fuzzy logic controller. These approaches are framed in the regulation of the electromagnetic torque of the generator and, consequently, the angular velocity of the system, improving power generation. The results show the benefits of these intelligent controllers to maximize power and improve the energy conversion process.