MPPT based efficiently controlled DFIG for wind energy conversion system

Wind energy has emerged as one of the topmost proliferated sustainable power sources in recent years. One of the major challenges in harnessing wind energy is to extract maximum power from intermittent generation of wind farms as wind power generation strongly depends on wind speed variation. Among different maximum power point tracking (MPPT) algorithms, Hill Climb Search (HCS) method is often preferred because of its simple implementation and sensorless scheme. Since the conventional HCS algorithm has few drawbacks such as power fluctuation and speed-efficiency tradeoff, a new adaptive step size HCS controller is proposed in this paper to mitigate its deficiencies. Doubly Fed Induction generator (DFIG) model is utilized in this work as the generation unit to support wider turbine rotor speed range and decoupled control of real and reactive power. The adaptive MPPT controller along with PI controlled DFIG can effectively track the maximum power generated from wind turbine with faster convergence speed. The simulation results obtained from the overall wind power system prove that the performance of the designed system is convincingly efficient and competent.