Abstract
The work presented in this paper has two major aspects: (i) investigation of a simple, yet efficient model of the NREL (National Renewable Energy Laboratory) 5-MW reference wind turbine; (ii) nonlinear control system development through a real-time nonlinear receding horizon control methodology with application to wind turbine control dynamics. In this paper, the results of our simple wind turbine model and a real-time nonlinear control system implementation are shown in comparison with conventional control methods. For this purpose, the wind turbine control problem is converted into an optimization problem and is directly solved by the nonlinear backwards sweep Riccati method to generate the control protocol, which results in a non-iterative algorithm. One main contribution of this paper is that we provide evidence through simulations, that such an advanced control strategy can be used for real-time control of wind turbine dynamics. Examples are provided to validate and demonstrate the effectiveness of the presented scheme.
Highlights
IntroductionThe overall objective of wind turbine control, in its simplest form, is mainly to maintain desired performance objectives (maximum power extraction, stability, etc.) during the process of wind energy utilization
The overall objective of wind turbine control, in its simplest form, is mainly to maintain desired performance objectives during the process of wind energy utilization
In this study complementary to existing studies. we developed an improved wind turbine model which provides nonlinear real-time control approach for wind turbine dynamics based on the receding horizon control methodology focused on controlling rotor angular velocity
Summary
The overall objective of wind turbine control, in its simplest form, is mainly to maintain desired performance objectives (maximum power extraction, stability, etc.) during the process of wind energy utilization. Fluid Dynamics (CFD) code, a detailed fluid-structure interaction model and a finite element code This level of fidelity comes with the cost of heavy computational requirements and is not utilized in this paper. We developed an improved wind turbine model which provides nonlinear real-time control approach for wind turbine dynamics based on the receding horizon control methodology focused on controlling rotor angular velocity. In this control methodology, we implement a solution scheme of real-time nonlinear control effort, which is independent of iterative solutions and constitutes the novel implementation suggested through this work.
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