Wind Turbine, Performance, Pitch Angle,Particle Swarm Optimization, Control

Background: Indonesia's oil reserves are running low at this time. Therefore it is necessary to explore alternative energy sources-source able to cover the energy needs in Indonesia. One potential alternative energy source is wind energy. Availability wind energy in Indonesia is relatively varied depend on the geographical position. The problems associated with wind turbines and overcome by applying the control system of wind turbine pitch angle. In this study Proportional integral control (PID) system implemented based Particle Swarm Optimization (PSO) on a wind turbine blade pitch angle. With the control system at varieties wind speed, the turbine rotor angular velocity is expected to awake in the specified work area. PSO is a population-based modern heuristic algorithm inspired by the behavior of the animal herd movements such as bees. Of the performance test, the system shows that the wind turbine has a value of the coefficients of performance (Cp) on average by 0581. Best tuning results obtained PSO parameters Kp=0.4176 and Kd o = 0.1159 and the system has a standar