Quasi Linear Parameter Varying modeling for wind farm control using the 2D Navier-Stokes equations

Conference Paper (2016)
Author(s)

S. Boersma (TU Delft - Team Raf Van de Plas)

Mehdi Vali (University of Oldenburg, ForWind - Center for Wind Energy Research)

Martin Kuhn (University of Oldenburg)

J.W. van Wingerden (TU Delft - Team Raf Van de Plas)

Research Group
Team Raf Van de Plas
DOI related publication
https://doi.org/10.1109/ACC.2016.7525616
More Info
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Publication Year
2016
Language
English
Research Group
Team Raf Van de Plas
Pages (from-to)
4409-4414
ISBN (print)
978-1-4673-8683-8
ISBN (electronic)
978-1-4673-8682-1

Abstract

Controlling the flow within wind farms, to increase the overall energy capture and to reduce the fatigue loads, is a challenging control problem due to its size and the underlying time-varying dynamics. State-of-the-art wind farm controllers follow the open-loop control paradigm by computing optimal set-points using static models. However, due to the time-varying inflow conditions and uncertain flow dynamics the closed-loop control paradigm should be used. In this work, a control-oriented quasi Linear Parameter Varying (LPV) descriptor model will be derived using the two dimensional (2D) Navier-Stokes equations. Sparsity of the system matrices make it possible to use this model for closed-loop controller synthesis. Some key features of the approach will be presented using a two turbine test case.

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