Coordinated Learning for Wind Farm Optimization

Riehl, James;Moens, Maud;Chatelain, Philippe;et.al.
(2019) Wind Energy Science Conference (WESC2019) — Location: Cork, Ireland (17.June.2019)

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Abstract
Optimal efficiency and loads alleviation in a dynamic environment necessitates a wind farm controller that can anticipate and quickly adapt to changing wind and wake conditions. In this work, we explore several strategies for collective learning and optmization, first using a high-level parametric wake model, and then a more complex approach, i.e. Large Eddy Simulation (LES) coupled to a wind turbine model.
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Riehl, J., Moens, M., Chatelain, P., & et al. (2019). Coordinated Learning for Wind Farm Optimization. Wind Energy Science Conference (WESC2019), Cork, Ireland. https://hdl.handle.net/2078.5/231924