The operation of wind power systems (WPS) needs to be regulated under both its linear and nonlinear operating behaviors in order to ensure the maximum possible wind power production with lowering costs. This involves developing robust control structures that can stringently han-dle WPTS’s sophisticated operation. In efforts to achieve this objective, the previous studies proposed various control strategies that were widely employed for the adjustments of WPTS’s mechanical components. Herein, this paper pursues electrical system control approach, which is more advanced and flexible, especially for grid compliance and power quality. Accordingly, indirect field-oriented-based maximum power point tracking (IFOC-based MPPT) strategy has been im-plemented on the rotor-side converter (RSC) of a doubly-fed induction generator (DFIG)-based WPTS. The ultimate goal of this study is to maintain the electric power quality by regulating the total harmonic distortion (THD) of the system’s rotor alternating current along with mitigating the switching transient. To this end, the performances of conventional proportional integral (PI), two-degree-of freedom PI (2DoF PI), and fuzzy logic PI (FLPI) hybrid controllers under the system’s both normal voltage rating & low voltage operation are set to be evaluated. Low voltage operation (voltage dip) was assumed to be 10% of normal voltage rating. Furthermore, the over-all simulation of a 2MW power rating DFIG system comprising aerodynamic model, electrical system model, control system model, and the controller models was implemented in MATLAB-SIMULINK environment in testing the effectiveness of the proposed approach based on a rated wind speed of 10m/s. Accordingly, the THD factors of rotor alternating current are resulted to be 7.72% with PI (2DOF), 9.15% with PI, and 8.61% with FLPI under normal voltage operation; and 28.79% with PI (2DoF), 35.46% with PI, and 23.25% with FLPI under low voltage opera-tion. With the recommended baseline of 75%, the PI (2DoF) performance accuracy for the cur-rent THD control is 71.21% with enhanced switching transients, whereas that of the FLPI model is found to be 76.75% along with mitigated switching transients, and while that of PI is 64.54% without mitigated switching transients in the case of nonlinear operating behavior. From these results, conventional PI performs poorly, PI (2DoF) performs well, and FLPI model has proven to show a superior overall performance. Keywords: DFIG system; RSC control; IFOC-MPPT strategy; PI controller; PI controller (2DoF); FLPI hybrid controller