IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v170y2022ics1364032122008395.html
   My bibliography  Save this article

Active control strategies for system enhancement and load mitigation of floating offshore wind turbines: A review

Author

Listed:
  • Truong, Hoai Vu Anh
  • Dang, Tri Dung
  • Vo, Cong Phat
  • Ahn, Kyoung Kwan

Abstract

Recently, floating offshore wind turbines (FOWTs) have attracted increasing attention owing to their capabilities, and such devices are being considered the next-generation technology to develop green energy. However, despite their prominent benefits, FOWTs are vulnerable to damage and degradation due to frequent operation under harsh environments involving highly variable wind flows and incident waves. In such scenarios, the system dynamics tend to generate additional motions, workloads, and undesired fluctuations. Owing to these aspects, the optimization of control strategies is challenging and thus must be extensively investigated to ensure long-term survivability. Many approaches involving both simulations and experiments on small-scaled test rigs have been reported. In this regard, this paper highlights the encountered issues and reviews the state-of-the-art control technologies for FOWTs, with the classifications based on the enhancements in the typical methods and floater architectures under region 3 (high wind speed) conditions.

Suggested Citation

  • Truong, Hoai Vu Anh & Dang, Tri Dung & Vo, Cong Phat & Ahn, Kyoung Kwan, 2022. "Active control strategies for system enhancement and load mitigation of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    • Handle: RePEc:eee:rensus:v:170:y:2022:i:c:s1364032122008395
    DOI: 10.1016/j.rser.2022.112958
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032122008395
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2022.112958?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Yichao & Ferrari, Riccardo & Wu, Ping & Jiang, Xiaoli & Li, Sunwei & Wingerden, Jan-Willem van, 2021. "Fault diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: A mixed model and signal-based approach," Renewable Energy, Elsevier, vol. 164(C), pages 391-406.
    2. Feng Yang & Qing-wang Song & Lei Wang & Shan Zuo & Sheng-shan Li, 2014. "Wind and Wave Disturbances Compensation to Floating Offshore Wind Turbine Using Improved Individual Pitch Control Based on Fuzzy Control Strategy," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-10, March.
    3. Tong, Xin & Zhao, Xiaowei, 2021. "Vibration and power regulation control of a floating wind turbine with hydrostatic transmission," Renewable Energy, Elsevier, vol. 167(C), pages 899-906.
    4. 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.
    5. Yang, J.J. & He, E.M., 2020. "Coupled modeling and structural vibration control for floating offshore wind turbine," Renewable Energy, Elsevier, vol. 157(C), pages 678-694.
    6. Madsen, F.J. & Nielsen, T.R.L. & Kim, T. & Bredmose, H. & Pegalajar-Jurado, A. & Mikkelsen, R.F. & Lomholt, A.K. & Borg, M. & Mirzaei, M. & Shin, P., 2020. "Experimental analysis of the scaled DTU10MW TLP floating wind turbine with different control strategies," Renewable Energy, Elsevier, vol. 155(C), pages 330-346.
    7. Yuan, Yuan & Tang, J., 2017. "Adaptive pitch control of wind turbine for load mitigation under structural uncertainties," Renewable Energy, Elsevier, vol. 105(C), pages 483-494.
    8. Shah, Kamran Ali & Meng, Fantai & Li, Ye & Nagamune, Ryozo & Zhou, Yarong & Ren, Zhengru & Jiang, Zhiyu, 2021. "A synthesis of feasible control methods for floating offshore wind turbine system dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    9. Zuo, Haoran & Bi, Kaiming & Hao, Hong, 2020. "A state-of-the-art review on the vibration mitigation of wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    10. Zhang, Mingming & Li, Xin & Tong, Jingxin & Xu, Jianzhong, 2020. "Load control of floating wind turbine on a Tension-Leg-Platform subject to extreme wind condition," Renewable Energy, Elsevier, vol. 151(C), pages 993-1007.
    11. Cho, Seongpil & Gao, Zhen & Moan, Torgeir, 2018. "Model-based fault detection, fault isolation and fault-tolerant control of a blade pitch system in floating wind turbines," Renewable Energy, Elsevier, vol. 120(C), pages 306-321.
    12. Liu, Yichao & Li, Sunwei & Yi, Qian & Chen, Daoyi, 2016. "Developments in semi-submersible floating foundations supporting wind turbines: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 433-449.
    13. Zhang, Mingming & Li, Xin & Xu, Jianzhong, 2019. "Smart control of fatigue loads on a floating wind turbine with a tension-leg-platform," Renewable Energy, Elsevier, vol. 134(C), pages 745-756.
    14. Micallef, Daniel & Rezaeiha, Abdolrahim, 2021. "Floating offshore wind turbine aerodynamics: Trends and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    15. Zhu, Hongzhong & Sueyoshi, Makoto & Hu, Changhong & Yoshida, Shigeo, 2019. "A study on a floating type shrouded wind turbine: Design, modeling and analysis," Renewable Energy, Elsevier, vol. 134(C), pages 1099-1113.
    16. 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.
    17. Chen, Jiahao & Hu, Zhiqiang & Liu, Geliang & Wan, Decheng, 2019. "Coupled aero-hydro-servo-elastic methods for floating wind turbines," Renewable Energy, Elsevier, vol. 130(C), pages 139-153.
    18. Kang, Jichuan & Sun, Liping & Guedes Soares, C., 2019. "Fault Tree Analysis of floating offshore wind turbines," Renewable Energy, Elsevier, vol. 133(C), pages 1455-1467.
    19. 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.
    20. Lei Wang & Shan Zuo & Y. D. Song & Zheng Zhou, 2014. "Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-7, March.
    21. Zhang, Mingming & Yang, Honglei & Xu, Jianzhong, 2017. "Numerical investigation of azimuth dependent smart rotor control on a large-scale offshore wind turbine," Renewable Energy, Elsevier, vol. 105(C), pages 248-256.
    22. Cho, Seongpil & Choi, Minjoo & Gao, Zhen & Moan, Torgeir, 2021. "Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks," Renewable Energy, Elsevier, vol. 169(C), pages 1-13.
    23. Han, Chenlu & Nagamune, Ryozo, 2020. "Platform position control of floating wind turbines using aerodynamic force," Renewable Energy, Elsevier, vol. 151(C), pages 896-907.
    24. Wei Yu & Ming Ming Zhang & Jian Zhong Xu, 2012. "Effect of Smart Rotor Control Using a Deformable Trailing Edge Flap on Load Reduction under Normal and Extreme Turbulence," Energies, MDPI, vol. 5(9), pages 1-19, 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. Grant, Elenya & Johnson, Kathryn & Damiani, Rick & Phadnis, Mandar & Pao, Lucy, 2023. "Buoyancy can ballast control for increased power generation of a floating offshore wind turbine with a light-weight semi-submersible platform," Applied Energy, Elsevier, vol. 330(PB).
    2. Ramezani, Mahyar & Choe, Do-Eun & Heydarpour, Khashayar & Koo, Bonjun, 2023. "Uncertainty models for the structural design of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).

    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. 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).
    2. Subbulakshmi, A. & Verma, Mohit & Keerthana, M. & Sasmal, Saptarshi & Harikrishna, P. & Kapuria, Santosh, 2022. "Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines — An integrated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    3. 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.
    4. 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).
    5. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    6. Liu, Yichao & Ferrari, Riccardo & Wu, Ping & Jiang, Xiaoli & Li, Sunwei & Wingerden, Jan-Willem van, 2021. "Fault diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: A mixed model and signal-based approach," Renewable Energy, Elsevier, vol. 164(C), pages 391-406.
    7. Zhang, Mingming & Li, Xin & Xu, Jianzhong, 2019. "Smart control of fatigue loads on a floating wind turbine with a tension-leg-platform," Renewable Energy, Elsevier, vol. 134(C), pages 745-756.
    8. Camila Correa-Jullian & Sergio Cofre-Martel & Gabriel San Martin & Enrique Lopez Droguett & Gustavo de Novaes Pires Leite & Alexandre Costa, 2022. "Exploring Quantum Machine Learning and Feature Reduction Techniques for Wind Turbine Pitch Fault Detection," Energies, MDPI, vol. 15(8), pages 1-29, April.
    9. Zhang, Lijun & Li, Ye & Xu, Wenhao & Gao, Zhiteng & Fang, Long & Li, Rongfu & Ding, Boyin & Zhao, Bin & Leng, Jun & He, Fenglan, 2022. "Systematic analysis of performance and cost of two floating offshore wind turbines with significant interactions," Applied Energy, Elsevier, vol. 321(C).
    10. Azizi, Askar & Nourisola, Hamid & Shoja-Majidabad, Sajjad, 2019. "Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller," Renewable Energy, Elsevier, vol. 135(C), pages 55-65.
    11. Arabgolarcheh, Alireza & Rouhollahi, Amirhossein & Benini, Ernesto, 2023. "Analysis of middle-to-far wake behind floating offshore wind turbines in the presence of multiple platform motions," Renewable Energy, Elsevier, vol. 208(C), pages 546-560.
    12. Li, Jianshen & Wang, Shuangxin, 2021. "Dual multivariable model-free adaptive individual pitch control for load reduction in wind turbines with actuator faults," Renewable Energy, Elsevier, vol. 174(C), pages 293-304.
    13. Papi, F. & Bianchini, A., 2022. "Technical challenges in floating offshore wind turbine upscaling: A critical analysis based on the NREL 5 MW and IEA 15 MW Reference Turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    14. Nicole Mendoza & Amy Robertson & Alan Wright & Jason Jonkman & Lu Wang & Roger Bergua & Tri Ngo & Tuhin Das & Mohammad Odeh & Kazi Mohsin & Francesc Fabregas Flavia & Benjamin Child & Galih Bangga & M, 2022. "Verification and Validation of Model-Scale Turbine Performance and Control Strategies for the IEA Wind 15 MW Reference Wind Turbine," Energies, MDPI, vol. 15(20), pages 1-25, October.
    15. Meng, Fanzhong & Lio, Wai Hou & Pegalajar-Jurado, Antonio & Pierella, Fabio & Hofschulte, Eric Nicolas & Santaya, Alex Gandia & Bredmose, Henrik, 2023. "Experimental study of floating wind turbine control on a TetraSub floater with tower velocity feedback gain," Renewable Energy, Elsevier, vol. 205(C), pages 509-524.
    16. Zemali, Zakaria & Cherroun, Lakhmissi & Hadroug, Nadji & Hafaifa, Ahmed & Iratni, Abdelhamid & Alshammari, Obaid S. & Colak, Ilhami, 2023. "Robust intelligent fault diagnosis strategy using Kalman observers and neuro-fuzzy systems for a wind turbine benchmark," Renewable Energy, Elsevier, vol. 205(C), pages 873-898.
    17. Pablo Zambrana & Javier Fernandez-Quijano & J. Jesus Fernandez-Lozano & Pedro M. Mayorga Rubio & Alfonso J. Garcia-Cerezo, 2021. "Improving the Performance of Controllers for Wind Turbines on Semi-Submersible Offshore Platforms: Fuzzy Supervisor Control," Energies, MDPI, vol. 14(19), pages 1-17, September.
    18. Wang, Yize & Liu, Zhenqing & Ma, Xueyun, 2023. "Improvement of tuned rolling cylinder damper for wind turbine tower vibration control considering real wind distribution," Renewable Energy, Elsevier, vol. 216(C).
    19. Mazare, Mahmood & Taghizadeh, Mostafa & Ghaf-Ghanbari, Pegah, 2021. "Fault tolerant control of wind turbines with simultaneous actuator and sensor faults using adaptive time delay control," Renewable Energy, Elsevier, vol. 174(C), pages 86-101.
    20. Sahin, Mustafa & Yavrucuk, Ilkay, 2022. "Adaptive envelope protection control of wind turbines under varying operational conditions," Energy, Elsevier, vol. 247(C).

    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:eee:rensus:v:170:y:2022:i:c:s1364032122008395. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.