Abstract
The wind energy boom in the world began in 1980’s. This work presents the modeling and control of a Wind Energy Conversion Systems (WECS) based Permanent Magnet Synchronous Generator (PMSG). The WECS adopts a back-to-back converter system with Voltage Source Inverter (VSI). In the strategy, the generator-side converter is used to tracks the maximum power point and the grid-side converter is responsible for the control of power flow and control the dc-link voltage. 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 work proposes the use of adaptive PI controllers to regulate the current and DC link voltage. The simulations results confirm that the proposed algorithm is remarkably faster and more efficient than the conventional PI. Comprehensive models of wind speed, wind turbine, PMSG and power electronic converters along with their control schemes are implemented in MATLAB/SIMULINK environment.
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