A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions
Feng, Z. (TU Delft Team Riccardo Ferrari)
Ferrari, Riccardo M.G. (TU Delft Team Riccardo Ferrari)
van Wingerden, J.W. (TU Delft Team Jan-Willem van Wingerden)
Liu, Y. (Electeic Power Research Institute)
Soares, C. Guedes (editor)
Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance with regard to the effect of the variation of local atmospheric conditions. On the other side, it is too late and costly to wait until field test time. To fill this gap, in this paper, we develop a control-oriented turbine dynamic simulation framework to evaluate the controller performance considering the perturbation of local atmospheric conditions. This goal is achieved by integrating an internal wind turbine (IWT) model in the Weather Research and Forecasting (WRF) simulation tool. The proposed framework is implemented on a 5MW reference wind turbine, where the effects of the local atmospheric conditions are illustrated. The proposed WRF-IWT model are validated by comparing the results with those derived from the Fatigue, Aerodynamics, Structures, and Turbulence (FAST).
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CRC Press / Balkema - Taylor & Francis Group
Trends in Renewable Energies Offshore: Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022
5th International Conference on Renewable Energies Offshore, RENEW 2022, 2022-11-08 → 2022-11-10, Lisbon, Portugal
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© 2023 Z. Feng, Riccardo M.G. Ferrari, J.W. van Wingerden, Y. Liu