A novel intelligent controller for DFIG-based wind turbine system

In this paper, dynamic behavior of a PWM-based vector controlled doubly fed induction generator (DFIG) will be analyzed and improved using an intelligent controller which takes advantage of the emotional decision making process which happens in the mammalian brain, called brain emotional learning-based intelligent controllers (BELBIC) in the literature. In this way, the intelligent controllers are in charge of controlling stator active and reactive power in a cascaded vector control scheme. For the purpose of decoupling active and reactive power components the stator flux space vector orientation will be utilized and finally Pulse width modulation (PWM) strategy will be used to order the switching commands to a voltage source converter (VSC) feeded from the rotor circuit at hyper synchronous mode of operation.