Abstract
An optimal backstepping controller is developed for doubly fed induction generator based wind turbine (DFIG). The objective is the control of active and reactive power exchanged between the generator and electrical grid in presence of uncertainty and reduce transient loads. The backstepping controller is coupled with an artificial bee colony aeroturbine algorithm in order to extract the maximum energy. Particle swarm optimization is used to select optimal value of backstepping’s parameters. The simulation is carried out on 2.4 MW DFIG based wind turbine system. The optimized performance of the proposed control technique under uncertainty parameters and transient load is established by simulation results
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