| With wind penetrationlevels increasing in power systems across the world, different challenges are encountered with respect to the controllability and operation of a power system. The frequency regulation of a power grid is highly impacted when a considerable amount of wind energyis connected to the system. This thesisuses a dynamic, non-linearized system developed in Matlab/Simulink©, to study how Type-3 wind turbines impact the stability and frequency response of a test power system. In this work,a proposed frequency sensitive pitch angle controller is implemented and tuned through the use of a Genetic Algorithm. Time simulations are used to demonstrate the transient and steady-state performance of the proposed controllers in the system with 25% wind penetration. The results show that the addition of the tuned frequency sensitive controllers improved the settling frequency, rate of change of frequency, and frequency nadir comparedto the wind turbines without these controllers.Key Words: Wind Turbine, DFIG, Frequency Regulation, Pitch Angle Control, Genetic Algorithm, Parameter Tuning |