Wake position tracking using dynamic wake meandering model and rotor loads
Author:
Affiliation:
1. Department of Wind Energy, Technical University of Denmark (DTU), DK-4000 Roskilde, Denmark
Funder
ForskEL Programme
Publisher
AIP Publishing
Subject
Renewable Energy, Sustainability and the Environment
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0032917
Reference38 articles.
1. A quantitative review of wind farm control with the objective of wind farm power maximization
2. The effect of minimum thrust coefficient control strategy on power output and loads of a wind farm
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1. Deep learning for optimal dispatch of automatic generation control in a wind farm;Journal of Renewable and Sustainable Energy;2023-07-01
2. Wind tunnel testing of wake tracking methods using a model turbine and tailored inflow patterns resembling a meandering wake;2023 American Control Conference (ACC);2023-05-31
3. Towards the multi-scale Kalman filtering of dynamic wake models: observing turbulent fluctuations and wake meandering;Journal of Physics: Conference Series;2023-05-01
4. Intelligent Wind Farm Control via Grouping-Based Reinforcement Learning;2022 European Control Conference (ECC);2022-07-12
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