Global Data-Driven Modeling of Wind Turbines in the Presence of Turbulence

G. J. van der Veen, J. W. van Wingerden, P. A. Fleming, A. K. Scholbrock, M. Verhaegen

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37 Scopus Citations

Abstract

This paper presents a practical approach to identify a global model of a wind turbine from operational data, while it operates in a turbulent wind field with a varying mean wind speed and under closed-loop control. The approach is based on the realization that the nonlinearities are dominated by the aerodynamics of the rotor, which change with the operating condition. The dynamics of a wind turbine can be decomposed into a nonlinear static part, governed by the torque and thrust characteristics of the rotor, and a linear time-invariant dynamic part. The multi-input-multi-output linear dynamics are estimated using a recent closed-loop subspace identification method. The practical applicability of the algorithm is demonstrated by applying it to data obtained from the NREL CART 3 research turbine.

Original languageAmerican English
Pages (from-to)441-454
Number of pages14
JournalControl Engineering Practice
Volume21
Issue number4
DOIs
StatePublished - 2013

NREL Publication Number

  • NREL/JA-5000-57172

Keywords

  • Closed-loop system identification
  • Data-driven modeling
  • Hammerstein systems
  • Turbulence
  • Wind turbines

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