Grasshopper Optimization Algorithm-Based PI Controller Scheme for Performance Enhancement of a Grid-Connected Wind Generator

Wind power installation has been rapidly increasing around the globe, which resulted in a massive penetration into the electric grids. So, tremendous attempts are exerted to improve the behaviour of the grid-tied permanent magnet synchronous generator driven by a variable-speed wind turbine (PMSG-VSWT). This study exhibits the application of the grasshopper optimization algorithm-based proportional-integral (PI) controller with the purpose of enhancing the dynamic and transient stability performances of the grid-tied PMSG-VSWT. The simulation-based optimization method is utilized in the optimization process, where the integration of square error criterion is considered as a fitness function. The effectiveness of the proposed control technique is compared with Newton–Raphson algorithm-based PI controllers, taking into account subjecting the system to symmetrical and unsymmetrical fault conditions. For achieving practical responses, real wind speed data that extracted from Zafarana wind farm in Egypt are utilized in this study. The feasibility of the proposed control approach is validated by the simulation studies, which are accomplished by using MATLAB/Simulink environment.