Application of neural network controller for maximum power extraction of a grid-connected wind turbine system
作者： Kyoungsoo Ro , Han-ho Choi
DOI: 10.1007/S00202-004-0254-2
关键词: AC power 、 Induction generator 、 Control theory 、 Turbine blade 、 Turbine 、 Wind speed 、 Control theory 、 Power optimizer 、 Engineering 、 Maximum power principle
摘要: This paper presents a neural network (NN) pitch controller of grid-connected wind turbine system for extracting maximum power from and proves that its performance using the NN would be better than classical PI controller. It discusses control algorithm presents, in graphical form, relationship output, rotor speed, coefficient, tip-speed ratio with speed when is operated under algorithm. The describes modeling simulation horizontal axis system, which includes drive train model, induction generator grid-interface model dynamics analysis. objective to extract transfer grid. achieved by controlling angle blades firing angles inverter switches. results performed on MATLAB show variations torque, angle, real/reactive injected into grid, etc. Based results, effectiveness proposed controllers verified.
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