Open AccessNumerical Validation of Wind Plant Control Strategies
Author(s) -
S. GomezIradi,
D. Astrain,
M. Aparicio,
Lorena Fernández,
Roberto Chávez
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1618/2/022010
Subject(s) - wake , moment (physics) , turbine , wind power , fidelity , flow (mathematics) , wind tunnel , work (physics) , computer science , power (physics) , computer simulation , environmental science , control (management) , marine engineering , control theory (sociology) , simulation , engineering , mechanics , aerospace engineering , physics , mechanical engineering , telecommunications , electrical engineering , classical mechanics , quantum mechanics , artificial intelligence
Research work carried out with the support of the CL-Windcon EU project where flow control strategies (flow redirection or yaw misalignment, and flow induction control or de-rating) are validated. These strategies were divided in optimizing a wind farm (WF) in terms of wind farm Annual Energy Production (AEP), and in optimizing the wind farm to reduce the worst Damage Equivalent Load (DEL) in blade root flap-wise moment that sees a wind turbine (WT) while keeping the WF AEP as high as possible. Two numerical methods were employed. A modified FLORIS that takes into account the DEL was used in the optimization process and the simulations, the baselines and the optimized configurations, were replicated with a higher fidelity method, SOWFA, to verify the lower fidelity tool results prior to implementation in a real system. From the studied cases, it has been found that the wake steering approaches maximized the total power by 6 to 15%, and the flow induction strategies, despite having a poor performance increasing of the overall power productions, showed their validity for reducing the flap-wise moment DEL of the WT blade. Numerically, SOWFA and FLORIS simulations showed significant discrepancies in partial wake conditions, which suggested a need of a new tuning of the FLORIS parameters for partial wake conditions. Finally, mention that now, thanks to EU CL-Windcon project there are publicly available experimental data, wind tunnel data, and SOWFA data that could be used for validation purpose.