Blades Pitch Angle Control and Crowbar Protection of a Wind Turbine using Adaptive Neuro-Fuzzy Inference System at Severe Faulty Conditions

Abstract

Due to their superior efficiency, stability, and ability to produce maximum power at various typical operating situations, wind turbines driving doubly fed induction generator systems are widely utilized in the extraction of wind energy. These systems have stability issues, particularly at severe faulty conditions. This paper focuses on the fault ride-through of a doubly fed induction generator (DFIG) driven by a wind turbine using Adaptive Neuro-Fuzzy Inference System (ANFIS). The measured voltages and currents at the generator's terminals are used by the