Adaptive Controller for PMSGs of Grid-Connected Wind Turbines

摘要

The wind energy boom in the world began in 1980's. This paper presents the modeling and control of a variable speed wind turbine system for low-power based Permanent Magnet Synchronous Generator is described. The currents from voltage-source converter are controlled in a synchronous orthogonal dq frame using a PI control tuning by a B-spline neural network. The B-spline neural network must be able to enhance the system performance and the online parameters updated can be possible. This paper proposes the use of adaptive PI controllers to maintain the current, frequency and DC link voltage constant. MATLAB and Simulink were employed for simulation studies. The simulations results confirm that the proposed algorithm is remarkably faster and more efficient than the conventional PI.