IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v300y2024ics0360544224012921.html
   My bibliography  Save this article

Hybrid control strategy for efficiency enhancement of a raft-type wave energy converter

Author

Listed:
  • Chen, Yuheng
  • Zhang, Haicheng
  • Zhou, Xiao
  • Guo, Bingyong
  • Xu, Daoling

Abstract

To improve the wave energy capture performance of a raft-type wave energy converter, a novel hybrid control strategy consisting of a passive control strategy and an active control strategy is proposed. In the passive control strategy, a nonlinear stiffness mechanism is introduced to generate a nonlinear passive control force. The passive control strategy has the advantage of broadening the capture width, whereas the active control strategy, which uses nonlinear model predictive control, is mainly utilized to improve the capture efficiency. Considering the high dimensions of the dynamic model, a dimension reduction strategy is given. Moreover, a mechanism for selecting the initial value is proposed to avoid the local optimum. Then, a dimension reduction nonlinear model predictive control controller is proposed to obtain the optimal active control force. Finally, the wave energy capture performance is evaluated for both regular and irregular waves. Numerical simulation results show that the wave energy capture performance can be improved using the novel hybrid control strategy.

Suggested Citation

  • Chen, Yuheng & Zhang, Haicheng & Zhou, Xiao & Guo, Bingyong & Xu, Daoling, 2024. "Hybrid control strategy for efficiency enhancement of a raft-type wave energy converter," Energy, Elsevier, vol. 300(C).
    • Handle: RePEc:eee:energy:v:300:y:2024:i:c:s0360544224012921
    DOI: 10.1016/j.energy.2024.131519
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224012921
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131519?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, Changhai & Hu, Min & Gao, Wenzhi & Chen, Jian & Zeng, Yishan & Wei, Daozhu & Yang, Qingjun & Bao, Gang, 2021. "A high-precise model for the hydraulic power take-off of a raft-type wave energy converter," Energy, Elsevier, vol. 215(PA).
    2. Amélie Têtu & Francesco Ferri & Morten Bech Kramer & Jørgen Hals Todalshaug, 2018. "Physical and Mathematical Modeling of a Wave Energy Converter Equipped with a Negative Spring Mechanism for Phase Control," Energies, MDPI, vol. 11(9), pages 1-23, September.
    3. Zhang, Haicheng & Xu, Daolin & Zhao, Huai & Xia, Shuyan & Wu, Yousheng, 2018. "Energy extraction of wave energy converters embedded in a very large modularized floating platform," Energy, Elsevier, vol. 158(C), pages 317-329.
    Full references (including those not matched with items on IDEAS)

    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. Qiao Li & Motohiko Murai & Syu Kuwada, 2018. "A Study on Electrical Power for Multiple Linear Wave Energy Converter Considering the Interaction Effect," Energies, MDPI, vol. 11(11), pages 1-20, November.
    2. Sricharan, V.V.S. & Chandrasekaran, Srinivasan, 2021. "Time-domain analysis of a bean-shaped multi-body floating wave energy converter with a hydraulic power take-off using WEC-Sim," Energy, Elsevier, vol. 223(C).
    3. Luca Martinelli & Matteo Volpato & Chiara Favaretto & Piero Ruol, 2019. "Hydraulic Experiments on a Small-Scale Wave Energy Converter with an Unconventional Dummy Pto," Energies, MDPI, vol. 12(7), pages 1-12, March.
    4. Cheng, Yong & Xi, Chen & Dai, Saishuai & Ji, Chunyan & Collu, Maurizio & Li, Mingxin & Yuan, Zhiming & Incecik, Atilla, 2022. "Wave energy extraction and hydroelastic response reduction of modular floating breakwaters as array wave energy converters integrated into a very large floating structure," Applied Energy, Elsevier, vol. 306(PA).
    5. Aqiang Zhao & Weimin Wu & Zuoyao Sun & Lixun Zhu & Kaiyuan Lu & Henry Chung & Frede Blaabjerg, 2019. "A Flower Pollination Method Based Global Maximum Power Point Tracking Strategy for Point-Absorbing Type Wave Energy Converters," Energies, MDPI, vol. 12(7), pages 1-19, April.
    6. Yong Ma & Shan Ai & Lele Yang & Aiming Zhang & Sen Liu & Binghao Zhou, 2020. "Hydrodynamic Performance of a Pitching Float Wave Energy Converter," Energies, MDPI, vol. 13(7), pages 1-27, April.
    7. Neshat, Mehdi & Sergiienko, Nataliia Y. & Nezhad, Meysam Majidi & da Silva, Leandro S.P. & Amini, Erfan & Marsooli, Reza & Astiaso Garcia, Davide & Mirjalili, Seyedali, 2024. "Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method," Applied Energy, Elsevier, vol. 362(C).
    8. Raúl Cascajo & Emilio García & Eduardo Quiles & Antonio Correcher & Francisco Morant, 2019. "Integration of Marine Wave Energy Converters into Seaports: A Case Study in the Port of Valencia," Energies, MDPI, vol. 12(5), pages 1-24, February.
    9. Cheng, Yong & Song, Fukai & Xi, Chen & Collu, Maurizio & Yuan, Zhiming & Incecik, Atilla, 2023. "Feasibility of integrating a very large floating structure with multiple wave energy converters combining oscillating water columns and oscillating flaps," Energy, Elsevier, vol. 274(C).
    10. Shi, Qijia & Xu, Daolin & Zhang, Haicheng, 2021. "Performance analysis of a raft-type wave energy converter with a torsion bi-stable mechanism," Energy, Elsevier, vol. 227(C).
    11. Jinming Wu & Zhonghua Ni, 2020. "On the Design of an Integrated System for Wave Energy Conversion Purpose with the Reaction Mass on Board," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    12. Zhang, Xiantao & Tian, XinLiang & Xiao, Longfei & Li, Xin & Lu, Wenyue, 2019. "Mechanism and sensitivity for broadband energy harvesting of an adaptive bistable point absorber wave energy converter," Energy, Elsevier, vol. 188(C).
    13. Pavlidou, Lamprini & Angelides, Demos C., 2022. "A novel two-objective optimization computational framework for a two-body heaving wave energy converter," Renewable Energy, Elsevier, vol. 191(C), pages 510-534.
    14. Wei Peng & Yingnan Zhang & Xueer Yang & Jisheng Zhang & Rui He & Yanjun Liu & Renwen Chen, 2020. "Hydrodynamic Performance of a Hybrid System Combining a Fixed Breakwater and a Wave Energy Converter: An Experimental Study," Energies, MDPI, vol. 13(21), pages 1-21, November.

    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:energy:v:300:y:2024:i:c:s0360544224012921. 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.journals.elsevier.com/energy .

    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.