<p><span lang="EN-US">In this paper we are interested in optimizing the wind power capture, using the Doubly Fed Induction Generator (DFIG). This machine is preferred to other types of variable speed generator because of their advantages in economic terms and control. The Artificial Neural Network (ANN) based on Direct Torque Control (DTC) which is used to control the electromagnetic torque in order to extract the maximum power, The main objective of this intelligent technique is to replace the conventional switching table by a voltage selector based on (ANN) to reduce torque and flux ripples. Moreover, the fuzzy logic controller is used to grid side converter to keep DC link voltage constant, and also to achieve unity power factor operation. The main advantage of the two control strategies proposed in this paper is that they are not influenced by the variation of the machine parameter. The pitch control is also presented to limit the generator power at its rated value. Simulation results of 1,5 MW, for (DFIG) based Wind Energy Conversion System (WECS) confirm the effectiveness and the performance of the global proposed approaches.</span></p>
In this paper we present the control system of a wind turbine based doubly fed induction generator (DFIG) by direct torque control (DTC). The wind energy conversion system (WECS) equipped with wind turbine, DFIG, DC bus and the power convector. The converter is controlled to generate the maximum power from wind turbine generator (WTG) by using maximum power point tracking (MPPT) strategy. The pitch control is also proposed to limit the generator power at its rated value. The DTC is developed to regulate the flux and torque. The simulation results of a 1.5MW doubly fed induction generator show the performances of the control strategy proposed. These results are validated by using the MATLAB/Simulink environment Keywords-Doubly fed induction generator (DFIG); direct torque control (DTC); Maximum power point tracking (MPPT); wind turbine generator (WTG); wind energy conversion system (WECS) I.
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