Application of Combined Mathematical modeling / Optimization Methods Coupled Pitch Controller Using Hybrid MLP Neural Network and Firefly Algorithm

A typical technique used in wind turbines is pitch angle control whereby through fluctuating the angle of wind turbine blade around their own axis, power created at high speeds of wind is held around maximum extreme and is avoided the severe mechanical stress on wind turbine. In current investigation, keeping in mind the end goal to control pitch angle, a control strategy in light of utilizing PI controller is recommended. Therefore, gains of the PI controller are regulated through combining the Firefly evolutionary algorithm and MLP neural network in such a way that the controller at its output sends a suitable controlling signal to the pitch actuator to set the pitch angle and so by varying the blades pitch angle suitably at high speeds of wind, the produced generator power remains around its nominal value. A wind turbine 5MW made by NREL (National Renewable Energy Laboratory) has been utilized based on FAST software code to simulate and analyze the results. The simulation results show that proposed method has a good