IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i14p4138-d591114.html
   My bibliography  Save this article

Resonance Avoidance Control Algorithm for Semi-Submersible Floating Offshore Wind Turbine

Author

Listed:
  • Kwansu Kim

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Hyunjong Kim

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Hyungyu Kim

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Jaehoon Son

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Jungtae Kim

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Jongpo Park

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

Abstract

In this study, a resonance avoidance control algorithm was designed to address the tower resonance problem of a semi-submersible floating offshore wind turbine (FOWT) and the dynamic performance of the wind turbine, floater platform, and mooring lines at two exclusion zone ranges were evaluated. The simulations were performed using Bladed, a commercial software for wind turbine analysis. The length of simulation for the analysis of the dynamic response of the six degrees of freedom (DoF) motion of the floater platform under a specific load case was 3600 s. The simulation results are presented in terms of the time domain, frequency domain, and using statistical analysis. As a result of applying the resonance avoidance control algorithm, when the exclusion zone range was ±0.5 rpm from the resonance rpm, the overall performance of the wind turbine was negatively affected, and when the range was sufficiently wide at ±1 rpm, the mean power was reduced by 0.04%, and the damage equivalent load of the tower base side–side bending moment was reduced by 14.02%. The tower resonance problem of the FOWT caused by practical limitations in design and cost issues can be resolved by changing the torque control algorithm.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4138-:d:591114
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/14/4138/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/14/4138/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Keshan He & Liangwen Qi & Liming Zheng & Yan Chen, 2018. "Combined Pitch and Trailing Edge Flap Control for Load Mitigation of Wind Turbines," Energies, MDPI, vol. 11(10), pages 1-16, September.
    2. Søren Christiansen & Thomas Bak & Torben Knudsen, 2013. "Damping Wind and Wave Loads on a Floating Wind Turbine," Energies, MDPI, vol. 6(8), pages 1-20, August.
    3. Dawn Ward & Maurizio Collu & Joy Sumner, 2019. "Reducing Tower Fatigue through Blade Back Twist and Active Pitch-to-Stall Control Strategy for a Semi-Submersible Floating Offshore Wind Turbine," Energies, MDPI, vol. 12(10), pages 1-16, May.
    4. 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.
    5. 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.
    6. Joannes Olondriz & Josu Jugo & Iker Elorza & Santiago Alonso-Quesada and Aron Pujana-Arrese, 2019. "A Feedback Control Loop Optimisation Methodology for Floating Offshore Wind Turbines," Energies, MDPI, vol. 12(18), pages 1-12, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Taesu Jeon & Dongmyoung Kim & Yuan Song & Insu Paek, 2021. "Design and Validation of Demanded Power Point Tracking Control Algorithm for MIMO Controllers in Wind Turbines," Energies, MDPI, vol. 14(18), pages 1-18, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arash E. Samani & Jeroen D. M. De Kooning & Nezmin Kayedpour & Narender Singh & Lieven Vandevelde, 2020. "The Impact of Pitch-To-Stall and Pitch-To-Feather Control on the Structural Loads and the Pitch Mechanism of a Wind Turbine," Energies, MDPI, vol. 13(17), pages 1-21, September.
    2. Unai Elosegui & Igor Egana & Alain Ulazia & Gabriel Ibarra-Berastegi, 2018. "Pitch Angle Misalignment Correction Based on Benchmarking and Laser Scanner Measurement in Wind Farms," Energies, MDPI, vol. 11(12), pages 1-20, December.
    3. 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.
    4. Tingting Cai & Sutong Liu & Gangui Yan & Hongbo Liu, 2019. "Analysis of Doubly Fed Induction Generators Participating in Continuous Frequency Regulation with Different Wind Speeds Considering Regulation Power Constraints," Energies, MDPI, vol. 12(4), pages 1-20, February.
    5. Nejra Beganovic & Jackson G. Njiri & Dirk Söffker, 2018. "Reduction of Structural Loads in Wind Turbines Based on an Adapted Control Strategy Concerning Online Fatigue Damage Evaluation Models," Energies, MDPI, vol. 11(12), pages 1-15, December.
    6. Michela Robba & Mansueto Rossi, 2021. "Optimal Control of Hybrid Systems and Renewable Energies," Energies, MDPI, vol. 15(1), pages 1-3, December.
    7. Goupee, Andrew J. & Kimball, Richard W. & Dagher, Habib J., 2017. "Experimental observations of active blade pitch and generator control influence on floating wind turbine response," Renewable Energy, Elsevier, vol. 104(C), pages 9-19.
    8. 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.
    9. Han, Chenlu & Nagamune, Ryozo, 2020. "Platform position control of floating wind turbines using aerodynamic force," Renewable Energy, Elsevier, vol. 151(C), pages 896-907.
    10. Sang Lee & Matthew Churchfield & Frederick Driscoll & Senu Sirnivas & Jason Jonkman & Patrick Moriarty & Bjόrn Skaare & Finn Gunnar Nielsen & Erik Byklum, 2018. "Load Estimation of Offshore Wind Turbines," Energies, MDPI, vol. 11(7), pages 1-15, July.
    11. Wakui, Tetsuya & Nagamura, Atsushi & Yokoyama, Ryohei, 2021. "Stabilization of power output and platform motion of a floating offshore wind turbine-generator system using model predictive control based on previewed disturbances," Renewable Energy, Elsevier, vol. 173(C), pages 105-127.
    12. Wei Sun & Mohan Liu & Yi Liang, 2015. "Wind Speed Forecasting Based on FEEMD and LSSVM Optimized by the Bat Algorithm," Energies, MDPI, vol. 8(7), pages 1-23, June.
    13. Xiaohui Zeng & Yang Yu & Liang Zhang & Qingquan Liu & Han Wu, 2014. "A New Energy-Absorbing Device for Motion Suppression in Deep-Sea Floating Platforms," Energies, MDPI, vol. 8(1), pages 1-22, December.
    14. Wakui, Tetsuya & Yoshimura, Motoki & Yokoyama, Ryohei, 2017. "Multiple-feedback control of power output and platform pitching motion for a floating offshore wind turbine-generator system," Energy, Elsevier, vol. 141(C), pages 563-578.
    15. Arabgolarcheh, Alireza & Jannesarahmadi, Sahar & Benini, Ernesto, 2022. "Modeling of near wake characteristics in floating offshore wind turbines using an actuator line method," Renewable Energy, Elsevier, vol. 185(C), pages 871-887.
    16. Meng, Qingshen & Hua, Xugang & Chen, Chao & Zhou, Shuai & Liu, Feipeng & Chen, Zhengqing, 2022. "Analytical study on the aerodynamic and hydrodynamic damping of the platform in an operating spar-type floating offshore wind turbine," Renewable Energy, Elsevier, vol. 198(C), pages 772-788.
    17. Pustina, L. & Serafini, J. & Pasquali, C. & Solero, L. & Lidozzi, A. & Gennaretti, M., 2023. "A novel resonant controller for sea-induced rotor blade vibratory loads reduction on floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    18. Joannes Olondriz & Josu Jugo & Iker Elorza & Santiago Alonso-Quesada and Aron Pujana-Arrese, 2019. "A Feedback Control Loop Optimisation Methodology for Floating Offshore Wind Turbines," Energies, MDPI, vol. 12(18), pages 1-12, September.
    19. López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    20. Díaz, H. & Silva, D. & Bernardo, C. & Guedes Soares, C., 2023. "Micro sitting of floating wind turbines in a wind farm using a multi-criteria framework," Renewable Energy, Elsevier, vol. 204(C), pages 449-474.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4138-:d:591114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.