direct power control with nstsm algorithm for dfig using svpwm technique

The paper presents a super-twisting sliding mode (stsm) regulator with neural networks (nn) of direct power command (dpc) for controlling the active/reactive power of a doubly-fed induction generator (dfig) using a two-level space vector pulse width modulation (2l-svpwm). traditional dpc strategy with proportional-integral (pi) controllers (dpc-pi) has significantly more active/reactive power ripples, electromagnetic torque ripple, and harmonic distortion (thd) of voltages. the proposed dpc strategy based on a neural super-twisting sliding mode controller (nstsm) minimizes the thd of stator/rotor voltage, reactive/active power ripple, rotor/stator current, and torque ripples. also, the dpc method with nstsm controllers (dpc-nstsm) is a simple algorithm compared to the vector control method. both methods are developed and programmed in matlab on a 1.5mw dfig-based wind turbines. the simulation studies of the dpc technique with the nstm algorithm have been performed, and the results of these studies are presented and discussed.