A new hybrid control scheme for minimizing torque and flux ripple for DFIG-based WES under random change in wind speed

This paper presents the analysis and design of artificial neural network (ANN) and proportional and integral (PI) controller-based hybrid control (HC) of doubly fed induction generator (DFIG). The proposed HC gives the quick dynamic and good transient response during the sudden changes in wind speed. Further performance of proposed hybrid controller has been analyzed independently with ANN and PI control as its components. The HC with ANN gives better performance compared with conventional direct torque control (CDTC) and PI DTC in terms of flux ripples, torque ripples, and settling time. The proposed technique is implemented in real-time simulator (RTS)-based OPAL-RT and MATLALAB/SIMULINK environment at a rating of 5.5-kW system under step and randomly change in wind velocity.