IEEE Transactions on Energy Conversion · 2006 · 452 citations · 17 references
EngineeringArchitectural EngineeringRenewable Energy IntegrationRenewable Energy SystemsWind EngineeringGenerator OperationModel Predictive ControlPower ControlWind Energy SystemsWind Turbine TechnologyBlade Angle ControlBlade Pitch AnglePredictive ControlTurbine Control SystemsWind Energy Conversion SystemsWind Power SystemsWind Turbine Control Systems
Wind energy fluctuates because power output scales with the cube of wind speed, and pitch‑angle control is a common technique to mitigate these variations. This study proposes a pitch‑angle control strategy that uses average wind speed, wind‑speed standard deviation, and generalized predictive control to achieve power leveling across all operating regions of a wind turbine generator. The method applies generalized predictive control to adjust blade pitch based on real‑time wind‑speed statistics, enabling dynamic power regulation. Simulation with a detailed wind‑power system model demonstrates that the proposed controller effectively levels output power throughout all operating regions, extending beyond the rated‑speed performance of previous approaches.
Wind energy is not constant and windmill output is proportional to the cube of wind speed, which causes the generated power of wind turbine generators (WTGs) to fluctuate. In order to reduce fluctuation, different methods are available to control the pitch angle of blades of windmill. In a previous work, we proposed the pitch angle control using minimum variance control, and output power leveling was achieved. However, it is a controlled output power for only rated wind speed region. This paper presents a control strategy based on average wind speed and standard deviation of wind speed and pitch angle control using a generalized predictive control in all operating regions for a WTG. The simulation results by using actual detailed model for wind power system show the effectiveness of the proposed method.
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Generalized predictive control—Part I. The basic algorithm
D.W. Clarke, C. Mohtadi, P.S. Tuffs · Automatica · 1987 · 3.8K citations
D.W. Clarke, P.J. Gawthrop · Proceedings of the Institution of Electrical Engineers · 1979 · 621 citations