Fast Control-Oriented Dynamic Linear Model of Wind Farm Flow and Operation
AbstractThe aerodynamic interaction between wind turbines grouped in wind farms results in wake-induced power loss and fatigue loads of wind turbines. To mitigate these, wind farm control should be able to account for those interactions, typically using model-based approaches. Such model-based control approaches benefit from computationally fast, linear models and therefore, in this work, we introduce the Dynamic Flow Predictor. It is a fast, control-oriented, dynamic, linear model of wind farm flow and operation that provides predictions of wind speed and turbine power. The model estimates wind turbine aerodynamic interaction using a linearized engineering wake model in combination with a delay process. The Dynamic Flow Predictor was tested on a two-turbine array to illustrate its main characteristics and on a large-scale wind farm, comparable to modern offshore wind farms, to illustrate its scalability and accuracy in a more realistic scale. The simulations were performed in SimWindFarm with wind turbines represented using the NREL 5 MW model. The results showed the suitability, accuracy, and computational speed of the modeling approach. In the study on the large-scale wind farm, rotor effective wind speed was estimated with a root-mean-square error ranging between 0.8% and 4.1%. In the same study, the computation time per iteration of the model was, on average,
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Kazda, J.; Cutululis, N.A. Fast Control-Oriented Dynamic Linear Model of Wind Farm Flow and Operation. Energies 2018, 11, 3346.
Kazda J, Cutululis NA. Fast Control-Oriented Dynamic Linear Model of Wind Farm Flow and Operation. Energies. 2018; 11(12):3346.Chicago/Turabian Style
Kazda, Jonas; Cutululis, Nicolaos A. 2018. "Fast Control-Oriented Dynamic Linear Model of Wind Farm Flow and Operation." Energies 11, no. 12: 3346.
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