Dynamic response enhancement of BDFIG using vector control scheme based internal model control

Double fed induction generator (DFIG) has shown tremendous success in wind turbines due to its flexibility and ability to regulate the active and reactive power. However, the presence of brushes and slip rings affects its reliability, stability, and power quality. Furthermore, it does not provide promising outcomes in case of faults even in presence of the crowbar circuit. In contrast, the brushless doubly fed induction generator (BDFIG) is a more reliable option for wind turbines than its mentioned counterpart due to the absence of the brushes and slip rings. This research work as such attempts to improve the dynamic performance of the vector control (VC) oriented power winding (PW) stator flux-based BDFIG by optimally selecting the proportional-integral (PI) gains through internal model control (IMC) approach. The proposed control scheme is utilized to regulate the speed, torque, and reactive power of the considered BDFIG independently. Contrary to the previous literature where the “trial and error method” is generally utilized, the current research work uses the IMC for selecting the most suitable PI parameters, thus reduces the complexity, time consumption, and uncertainty in optimal selection. The considered BDFIG based wind turbine with the proposed control scheme provides a better BDFIG control design with an enhanced dynamic response as compared to that of the same with DFIG under identical operating conditions and system configurations