Comparative study between different vector control methods applied to DFIG wind turbines

In this work, the vector control methods of doubly-fed induction generator (DFIG) in wind energy conversion systems are studied. In the methods under study, the proper voltage space vector of the rotor side converter is selected using a proportional-integral (PI) controllers. The artificial neural networks (ANNs) based on space vector modulation (SVM) which is used to control the inverter in order to reduce the reactive and active power ripples and minimize the total harmonic distortion (THD) of the rotor current. Various simulations are performed in Matlab/Simulink software on a DFIG system in order to investigate the dynamic performance and robustness of the proposed control methods against machine internal parameters variations.