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Using Multiple Fidelity Numerical Models for Floating Offshore Wind Turbine Advanced Control Design

Author

Listed:
  • Joannes Olondriz

    (Control and Monitoring Area, IK4-Ikerlan Technology Research Centre, P J.M. Arizmendiarrieta 2, Arrasate-Mondragón 20500, Spain)

  • Wei Yu

    (Stuttgart Wind Energy (SWE), University of Stuttgart, Stuttgart 70569, Germany)

  • Josu Jugo

    (Electricity and Electronics Area, University of the Basque Country UPV/EHU, Bo. Sarriena s/n, Leioa 48940, Spain)

  • Frank Lemmer

    (Stuttgart Wind Energy (SWE), University of Stuttgart, Stuttgart 70569, Germany)

  • Iker Elorza

    (Control and Monitoring Area, IK4-Ikerlan Technology Research Centre, P J.M. Arizmendiarrieta 2, Arrasate-Mondragón 20500, Spain)

  • Santiago Alonso-Quesada

    (Electricity and Electronics Area, University of the Basque Country UPV/EHU, Bo. Sarriena s/n, Leioa 48940, Spain)

  • Aron Pujana-Arrese

    (Control and Monitoring Area, IK4-Ikerlan Technology Research Centre, P J.M. Arizmendiarrieta 2, Arrasate-Mondragón 20500, Spain)

Abstract

This paper summarises the tuning process of the Aerodynamic Platform Stabiliser control loop and its performance with Floating Offshore Wind Turbine model. Simplified Low-Order Wind turbine numerical models have been used for the system identification and control tuning process. Denmark Technical University’s 10 MW wind turbine model mounted on the TripleSpar platform concept was used for this study. Time-domain simulations were carried out in a fully coupled non-linear aero-hydro-elastic simulation tool FAST, in which wind and wave disturbances were modelled. This testing yielded significant improvements in the overall Floating Offshore Wind Turbine performance and load reduction, validating the control technique presented in this work.

Suggested Citation

  • Joannes Olondriz & Wei Yu & Josu Jugo & Frank Lemmer & Iker Elorza & Santiago Alonso-Quesada & Aron Pujana-Arrese, 2018. "Using Multiple Fidelity Numerical Models for Floating Offshore Wind Turbine Advanced Control Design," Energies, MDPI, vol. 11(9), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2484-:d:170618
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    References listed on IDEAS

    as
    1. Kausche, Michael & Adam, Frank & Dahlhaus, Frank & Großmann, Jochen, 2018. "Floating offshore wind - Economic and ecological challenges of a TLP solution," Renewable Energy, Elsevier, vol. 126(C), pages 270-280.
    2. Joannes Olondriz & Iker Elorza & Josu Jugo & Santi Alonso-Quesada & Aron Pujana-Arrese, 2018. "An Advanced Control Technique for Floating Offshore Wind Turbines Based on More Compact Barge Platforms," Energies, MDPI, vol. 11(5), pages 1-14, May.
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    Cited by:

    1. Kwansu Kim & Hyunjong Kim & Hyungyu Kim & Jaehoon Son & Jungtae Kim & Jongpo Park, 2021. "Resonance Avoidance Control Algorithm for Semi-Submersible Floating Offshore Wind Turbine," Energies, MDPI, vol. 14(14), pages 1-17, July.

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