Fuzzy Control of Wind Cage Induction Generator System


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Abstract


A variable speed wind energy conversion system, with squirrel cage induction generator, is reported in this paper. The induction generator is driven by a vertical axis wind turbine and feeds power to utility grid through two double side pulse width modulated converters connected between stator and grid. Fuzzy logic control is used to increase the energy captured from wind, and to increase efficiency by reducing core loss. Transient performance of speed control system is also improved. The generator control system uses three fuzzy controllers. The first fuzzy controller tracks the generator speed with the wind velocity to extract maximum power. The second fuzzy controller programs machine flux for light load efficiency improvement. The third fuzzy controller provides robust speed control against wind vortex and turbine oscillatory torque. The performance of the fuzzy controlled variable speed wind energy conversion system is evaluated through simulation study in MATLAB. Simulation results prove that wind power system with fuzzy control captures more power, has more efficiency and less core loss. Closed loop speed response of the generator with fuzzy controller, shows that fast speed response can be obtained with well designed fuzzy controller.
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Keywords


Decoupling Control; Fuzzy Logic Controller; Induction Generator; Vector Control; Wind Power Generator

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