One of the most attractive sources of renewable energy in the world is wind power because of the predicted increase in energy production from wind energy and its good integration with the electrical grid. To cope with the growing need for energy, more robust control strategies are required for wind energy conversion systems (WECSs) for enhancing the overall system efficiency and power quality and achieving a more stable operation of the system. Therefore, for grid-connected doubly fed induction generator (DFIG)-based WECS, an optimization method, based on bonobo optimizer (BO), is presented in this paper to obtain 19 control parameters, which are the parameters of the proportional–integral (PI) controllers of rotor side and grid side converters, capacitance and voltage of the DC bus, the values of a delta connected LC filter for rotor side converter (RSC) and L filter for grid side converter (GSC). The objective of optimization problem is formulated to realize the maximum power point tracking (MPPT) with minimum DFIG torque ripple. Fixed parameters of PI controller and the values of filters and DC bus capacitance and voltage may lead to instability of system at certain wind speeds. Therefore, the optimization variables are obtained for a wide range of wind speeds (4–25 m/s). The optimum power curve and pitch angle values of the wind turbine has been estimated to get the reference values of DFIG mechanical power to have MPPT under different wind speeds. The BO results are compared with a well-known optimization algorithm; particle swarm optimizer (PSO) to verify the accuracy of results. The Matlab environment is used to simulate the 2.4 MW DFIG-based WECS.