A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

Conference paper (2023)

Authors

Z. Feng Team Riccardo Ferrari - Mechanical, Maritime and Materials Engineering
Riccardo M.G. Ferrari Team Riccardo Ferrari - Mechanical, Maritime and Materials Engineering
J.W. van Wingerden Team Jan-Willem van Wingerden - Mechanical, Maritime and Materials Engineering
Y. Liu Electeic Power Research Institute
Research Group
Team Riccardo Ferrari (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2023 Z. Feng, Riccardo M.G. Ferrari, J.W. van Wingerden, Y. Liu
DOI
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https://doi.org/10.1201/9781003360773-4
More Info
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Published Date

2023

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Riccardo Ferrari

Abstract

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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Feng_2022tn_n.pdf
(.pdf | 1.87 Mb)