Optimal Pitch Angle Control for Wind Turbine Using Intelligent Controller

Wind energy is the most plenty resource in the renewable energy purse. Increasing the wind pick out capability improves the economic viability of this technology, and makes it more rivalry with traditional fossil-fuel based supplies. Therefore, it is necessary to search control strategies that increase aerodynamic efficiency. Several controls are applied and compared during this research. The angle of blade pitch is employed to control the wind turbine (SCIG) operation during partial and full load operations, correspondingly. This work is achieved using Matlab/Simulink simulation. The effect of some compensation modules is studied such as unified power flow controllers (UPFC) and three types of smart technologies on the performance of the IEEE 9 bus. The traditional PI, is the first controller is utilized in this study that depends on trial and error technique. Second, the controller of Fuzzy logic control (FLC) based trial and error. Finally, the nonlinear auto regressive-moving average (NARMA-L2) based on PI controller. The results show that the controllers used had better improvement in active power and the response of turbine in terms of reduced error for a steady state and ripple reduction in the torque and speed responses. In addition, NARMA-L2 controller presents better results from other methods especially in power output and in terms of reducing the steady state errors of load changes and ripple minimization, making this controller more active to the load and speed variations.