Control of individual pitch angle in variable wind speed using modern optimization techniques

The renewable energy source used in many different applications is wind power. Wind energy is one of the most expensive forms of energy today. The purpose of wind power is to convert kinetic energy into electrical energy. MATLAB/SIMULINK simulations allowed us to clearly distinguish the three control methods used to optimise the FAST wind turbine; the N-Z PI method, the PSO-PI method and the GA-PI method produced similar results. Increasing the rotor speed quality of the wind turbines and decreasing the mechanical loads on the turbines were investigated. By adjusting the blade angle to the nominal wind speed, the rotor speed of the wind turbine is maintained at its nominal value. By using control methods (such as PI, genetic algorithms and particle swarm optimisation), different results can be achieved. In addition, the individual control of the blade tilt angle allowed us to reduce the mechanical loads of the wind turbine through control methods. The wind turbine was modelled in Matlab/Simulink. The simulation results show that the individual control of the blade tilt angle ensures the quality of the rotor speed of the wind turbine and reduces the balanced periodic loads on the wind turbine.