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A synthesis of feasible control methods for floating offshore wind turbine system dynamics

Shah, Kamran Ali; Meng, Fantai; Li, Ye; Nagamune, Ryozo; Zhou, Yarong; Ren, Zhengru; Jiang, Zhiyu
Peer reviewed, Journal article
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URI
https://hdl.handle.net/11250/3132365
Date
2021
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  • Publikasjoner fra CRIStin [4715]
  • Scientific Publications in Engineering Sciences [818]
Original version
Shah, K. A., Meng, F., Li, Y., Nagamune, R., Zhou, Y., Ren, Z. & Jiang, Z. (2021). A synthesis of feasible control methods for floating offshore wind turbine system dynamics. Renewable & Sustainable Energy Reviews, 151, Article 111525.   https://doi.org/10.1016/j.rser.2021.111525
Abstract
During the past decade, the development of offshore wind energy has transitioned from near shore with shallow water to offshore middle-depth water regions. Consequently, the energy conversion technology has shifted from bottom-fixed wind turbines to floating offshore wind turbines. Floating offshore wind turbines are considered more suitable, but their cost is still very high. One of the main reasons for this is that the system dynamics control method is not well-adapted, thereby affecting the performance and reliability of the wind turbine system. The additional motion of the platform tends to compromise the system’s performance in terms of power maximization, power regulation, and load mitigation. To provide a recommendation based on the advantages and disadvantages of different control methods, we systematically analyze feasible control methods for existing floating offshore wind turbine designs. Based on a brief overview of floating offshore wind turbine system dynamics, we present several promising control methods by classifying them as blade-pitch-based and mass–spring–damper-based. Furthermore, we emphasize on the incoming wind and wave forecasting associated with the control methods. We then compare different methods by evaluating a matrix involving platform motion minimization, load mitigation, and power regulation and identify the advantages and disadvantages. Finally, recommendations and suggestions for further research are provided by integrating the advantageous control algorithm and forecasting technologies to reduce costs.
Publisher
Elsevier
Journal
Renewable & Sustainable Energy Reviews
Copyright
© 2021 Elsevier

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