Wind energy conversion system using PMSG controlled by B-spline network

The wind energy boom in the world began in 1980's. This paper presents the modeling and control of a Wind Energy Conversion Systems (WECS) based Permanent Magnet Synchronous Generator (PMSG). The control scheme uses a B-spline artificial neural network for tuning controllers when the system is subjected to disturbances. The currents from VSI's are controlled in a synchronous orthogonal dq frame using an adaptive PI control. 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 a linear control PI to regulate the DC link voltage. Simulation results show the feasibility and robustness of the proposed control schemes for PMSG based wind turbines. Comprehensive models of wind speed, wind turbine, PMSG and power electronic converters along with their control schemes are implemented in MATLAB/SIMULINK environment.