Wind Farm Power Optimization Using Cooperative Game Control Methods

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Deljouyi, Nasim | 2019

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 52682 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Nobakhti, Amin
Abstract:
This research studies the application of coopeartive control and game theoretic approaches in the field of wind farm optimization. The conventional (greedy) wind farm control strategy seeks to individually maximize the power of each turbine.However, due to the presence of aerodynamic interactions (wake effect) between turbines, this strategy will not lead to maximum overall farm power. Accordingly, this study formulates the wind farm power optimization problem as an identical interest game which is utilized to deal with cooperative control problems in general, and the wind farm control problem in particular. Two distributed model-free learning algorithms are then applied to obtain the optimal axial induction factors of the turbines, thereby increasing the power production of the wind farm and decreasing the actuation efforts of the turbines in comparison with the existing model-free learning algorithm used in the wind farm optimization problem thus far
Keywords:
Wind Farms ; Cooperative Control ; Model-Free Control ; Wake Effect

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