Closing the loop in model-based wind farm control

Research output: ThesisDissertation (TU Delft)

10 Downloads (Pure)

Abstract

Open-loop wake steering inconsistently improves the energy yield of wind farms in field experiments in the literature. This thesis matures wind farm control technologies for power maximization in a model-based closed-loop framework towards real-world practical applicability. Firstly, open-loop wake steering is evaluated on a commercial onshore wind farm in this thesis. While a net increase in energy yield is measured, the experiment highlights the inaccuracy of the simplified wind farm model, leading to situational losses in energy yield. Secondly, this thesis demonstrates that wind turbine power and wind vane measurements can be used to calibrate the simplified model online to maintain a high model accuracy. This closed-loop concept is tested in high-fidelity simulation, showing a consistent energy yield increase of 1.4%. Finally, this thesis explores the usage of dynamic wind farm models for control, which would further push the accuracy of simplified models yet is held back by the large computational costs. The contributions in this dissertation greatly advance the status quo of wind farm control solutions and their applicability in commercial wind farms.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft Center for Systems and Control
Supervisors/Advisors
  • van Wingerden, J.W., Supervisor
  • Verhaegen, M.H.G., Supervisor
Award date16 Sep 2020
DOIs
Publication statusPublished - 16 Jul 2020

Keywords

  • closed-loop wind farm control
  • wake steering
  • yaw-based wake redirection
  • power maximization
  • model-based optimization
  • real-time model adaptation
  • nonlinear state estimation
  • FLORIS
  • WFSim
  • SOWFA

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  • Research Output

    • 3 Article
    • 1 Conference contribution

    Closed-loop model-based wind farm control using FLORIS under time-varying inflow conditions

    Doekemeijer, B. M., van der Hoek, D. & van Wingerden, J. W., 2020, In : Renewable Energy. 156, p. 719-730

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 1 Citation (Scopus)
    25 Downloads (Pure)

    Observability of the ambient conditions in model-based estimation for wind farm control: A focus on static models

    Doekemeijer, B. & van Wingerden, J. W., 2020, In : Wind Energy. 23, 9, p. 1777-1791

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 1 Citation (Scopus)
    2 Downloads (Pure)

    A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model

    Doekemeijer, B. M., Fleming, P. A. & Van Wingerden, J. W., 2019, Proceedings of the 2019 American Control Conference (ACC 2019). Piscataway, NJ, USA: IEEE, p. 2825-2836

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
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