Enhance the Dynamic Performance of DFIGURE during Voltage Sag and Voltage Swell Using SMES

One of the most important parameters of the incorporation of wind turbines into present day power frameworks has fundamentally expanded amid the most recent decade. Wind turbines furnished with doubly nourished instigation generators (DFIGUREs) have been overwhelming wind power establishment worldwide since 2002. In this paper, superconducting attractive vitality stockpiling (SMES) unit is being utilized to enhance the dynamic execution of a wind vitality change framework outfitted with DFIGURE amid voltage droop at the grid side event. The voltage source converter and HCC control power transfer between the SMES curl and the air conditioner framework, a dcdc chopper is used and fuzzy logic and adaptive neuro-fuzzy inference system is selected to control its duty cycle (D) with input variables real power created by the DFIGURE and the SMES loop current. The MATLAB/SIMULINK software is used to simulate the wind turbine, the SMES unit, and the model under study. Results are to be analyzed to highlight the improved dynamic performance of wind energy conversion systems in conjunction with the SMES unit under voltage sag and voltage swell conditions