With fuzzy logic, this research suggests an optimal control approach to maximize the performance of a wind energy conversion system (WECS). The linear-quadratic regulator (LQR) method with fuzzy logic, which offers quick convergence, less mathematical complexity, and harmonic control, is the foundation of the best control strategy. The LQR controller is used to modify the grid-side converter/inverter and the machine. The system model and its control schemes are presented in this paper. In order to obtain realistic reactions, wind speed statistics are taken into account in this study. By contrasting the outcomes of the LQR controller with those of the fuzzy logic controller and grey wolf optimizer algorithm-based optimized proportional-integral controllers—both of which account for significant network disruptions—the system's performance is assessed. The extensive simulation tests that demonstrate the viability of the LQR controller for enhancing the WECS's performance with harmonic controlling are carried out using the MATLAB/Simulink environment. For additional validation, the outcomes of the simulation and the experiments are compared.