These instructions This a review research focuses on various methods used in Intelligent Control Systems for Grid Tie doubly fed induction generator (DFIG) Wind Farm. A controller using fuzzy coordinated PI is suggested in this paper for improving the dynamic performance of supercapacitor (SC) coupled to DFIG through a buck-boost converter (DC-DC converter) during disturbances in large scale wind farm. Also, in this research, Pitch angle control is employed to regulate the angle of the wind turbine (WT) blade during different wind speeds to control power and operate WT safely. Implementation of artificial intelligent control (fuzzy approach) on pitch angle replaces the traditional control to enhance the system performance, fuzzy approach is used to auto tuning the conventional control parameters under various working conditions. This research replaces the traditional controller in pitch angle compensation loop with fuzzy tuned PI. Then, this paper review a developed control technique using an interval type-2 fuzzy logic control (FLC) tuned PI for optimum torque adjustment for WTs operated by DFIG. The suggested control regulates the error of the mechanical rotor speed and generates the optimum torque that achieves the maximum output power. On basis of the results obtained from the literature available, the integration of a SC to the dc-link of three-phase four-wire active power filter (APF) is introduced by using interfaced three level bidirectional buck-boost converter controlled by a fuzzy control approach.