IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v195y2022icp331-343.html
   My bibliography  Save this article

Maximizing tidal energy conversion by adopting hydraulic transformation and LMI based robust control

Author

Listed:
  • Yin, Xiuxing
  • Pan, Li
  • Lei, Meizhen

Abstract

This paper explores the maximization of tidal energy conversion by adopting hydraulic transformation and through the design of a robust H∞ control scheme. A hydraulic transformation based tidal turbine applicable to realistic tidal states is presented. In this turbine, a hydraulic transformer is developed to have well-adapted characteristics to turbulent tidal stream flows. The dynamics of the tidal turbine is represented as a state space model based on the equations of its main components. The H∞ control scheme is then synthesized by introducing a new state variable that represents the “filtered” of the turbine rotor speed tracking errors. The control problem is formulated as a convex optimization problem with linear matrix inequality (LMI) that is solved to satisfy H∞ performance and obtain good dynamic characteristics. In addition, a robust H∞ observer for estimating state variables along with the online implementations of the robust controller is also designed by using the LMI approach. A case study of a 150 kW hydraulic transformation based tidal turbine system is conducted and detailed analyses of the dynamic behavior of the tidal turbine are presented. According to the test results, approximately up to 40% total power conversion efficiency can be achieved by the proposed turbine under the typical energetic sea state conditions.

Suggested Citation

  • Yin, Xiuxing & Pan, Li & Lei, Meizhen, 2022. "Maximizing tidal energy conversion by adopting hydraulic transformation and LMI based robust control," Renewable Energy, Elsevier, vol. 195(C), pages 331-343.
    • Handle: RePEc:eee:renene:v:195:y:2022:i:c:p:331-343
    DOI: 10.1016/j.renene.2022.05.034
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122006747
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.05.034?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. Nachtane, M. & Tarfaoui, M. & Goda, I. & Rouway, M., 2020. "A review on the technologies, design considerations and numerical models of tidal current turbines," Renewable Energy, Elsevier, vol. 157(C), pages 1274-1288.
    2. Yuce, M. Ishak & Muratoglu, Abdullah, 2015. "Hydrokinetic energy conversion systems: A technology status review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 72-82.
    3. Zhou, Zhibin & Benbouzid, Mohamed & Charpentier, Jean-Frédéric & Scuiller, Franck & Tang, Tianhao, 2017. "Developments in large marine current turbine technologies – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 852-858.
    4. Bououden, S. & Chadli, M. & Filali, S. & El Hajjaji, A., 2012. "Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach," Renewable Energy, Elsevier, vol. 37(1), pages 434-439.
    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. Rekha Guchhait & Biswajit Sarkar, 2023. "Increasing Growth of Renewable Energy: A State of Art," Energies, MDPI, vol. 16(6), pages 1-29, March.

    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. Clemente Gotelli & Mirko Musa & Michele Guala & Cristián Escauriaza, 2019. "Experimental and Numerical Investigation of Wake Interactions of Marine Hydrokinetic Turbines," Energies, MDPI, vol. 12(16), pages 1-17, August.
    2. Zhang, Aiming & Liu, Sen & Ma, Yong & Hu, Chao & Li, Zhengyu, 2022. "Field tests on model efficiency of twin vertical axis helical hydrokinetic turbines," Energy, Elsevier, vol. 247(C).
    3. Faizan, Muhammad & Badshah, Saeed & Badshah, Mujahid & Haider, Basharat Ali, 2022. "Performance and wake analysis of horizontal axis tidal current turbine using Improved Delayed Detached Eddy Simulation," Renewable Energy, Elsevier, vol. 184(C), pages 740-752.
    4. Si, Yulin & Liu, Xiaodong & Wang, Tao & Feng, Bo & Qian, Peng & Ma, Yong & Zhang, Dahai, 2022. "State-of-the-art review and future trends of development of tidal current energy converters in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    5. Anthony Roy & François Auger & Florian Dupriez-Robin & Salvy Bourguet & Quoc Tuan Tran, 2018. "Electrical Power Supply of Remote Maritime Areas: A Review of Hybrid Systems Based on Marine Renewable Energies," Energies, MDPI, vol. 11(7), pages 1-27, July.
    6. Dong, Yongjun & Guo, Jingfu & Chen, Jianmei & Sun, Chao & Zhu, Wanqiang & Chen, Liwei & Zhang, Xueming, 2021. "Development of a 300 kW horizontal-axis tidal stream energy conversion system with adaptive variable-pitch turbine and direct-drive PMSG," Energy, Elsevier, vol. 226(C).
    7. Nachtane, M. & Tarfaoui, M. & Goda, I. & Rouway, M., 2020. "A review on the technologies, design considerations and numerical models of tidal current turbines," Renewable Energy, Elsevier, vol. 157(C), pages 1274-1288.
    8. Li, Gang & Zhu, Weidong, 2023. "Tidal current energy harvesting technologies: A review of current status and life cycle assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    9. Youcef Belkhier & Abdelyazid Achour & Rabindra Nath Shaw & Nasim Ullah & Md. Shahariar Chowdhury & Kuaanan Techato, 2021. "Energy-Based Combined Nonlinear Observer and Voltage Controller for a PMSG Using Fuzzy Supervisor High Order Sliding Mode in a Marine Current Power System," Sustainability, MDPI, vol. 13(7), pages 1-24, March.
    10. Yao, Yao & Shen, Zhicheng & Wang, Qiliang & Du, Jiyun & Lu, Lin & Yang, Hongxing, 2023. "Development of an inline bidirectional micro crossflow turbine for hydropower harvesting from water supply pipelines," Applied Energy, Elsevier, vol. 329(C).
    11. Liu, Zhen & Qu, Hengliang & Shi, Hongda, 2020. "Energy-harvesting performance of a coupled-pitching hydrofoil under the semi-passive mode," Applied Energy, Elsevier, vol. 267(C).
    12. Qian, Peng & Feng, Bo & Liu, Hao & Tian, Xiange & Si, Yulin & Zhang, Dahai, 2019. "Review on configuration and control methods of tidal current turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 125-139.
    13. Ifaei, Pouya & Tayerani Charmchi, Amir Saman & Loy-Benitez, Jorge & Yang, Rebecca Jing & Yoo, ChangKyoo, 2022. "A data-driven analytical roadmap to a sustainable 2030 in South Korea based on optimal renewable microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    14. Gbalimene Richard Ileberi & Pu Li, 2023. "Integrating Hydrokinetic Energy into Hybrid Renewable Energy System: Optimal Design and Comparative Analysis," Energies, MDPI, vol. 16(8), pages 1-28, April.
    15. Guillou, Nicolas & Thiébot, Jérôme & Chapalain, Georges, 2019. "Turbines’ effects on water renewal within a marine tidal stream energy site," Energy, Elsevier, vol. 189(C).
    16. Yancai Xiao & Tieling Zhang & Zeyu Ding & Chunya Li, 2016. "The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters," Energies, MDPI, vol. 9(5), pages 1-17, May.
    17. Yuan, Yuan & Chen, Xu & Tang, J., 2020. "Multivariable robust blade pitch control design to reject periodic loads on wind turbines," Renewable Energy, Elsevier, vol. 146(C), pages 329-341.
    18. Xiaobing Kong & Lele Ma & Xiangjie Liu & Mohamed Abdelkarim Abdelbaky & Qian Wu, 2020. "Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions," Energies, MDPI, vol. 13(1), pages 1-21, January.
    19. Liu, Xiaodong & Feng, Bo & Liu, Di & Wang, Yiming & Zhao, Haitao & Si, Yulin & Zhang, Dahai & Qian, Peng, 2022. "Study on two-rotor interaction of counter-rotating horizontal axis tidal turbine," Energy, Elsevier, vol. 241(C).
    20. Hongmin Meng & Tingting Yang & Ji-zhen Liu & Zhongwei Lin, 2017. "A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines," Energies, MDPI, vol. 10(7), pages 1-19, July.

    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:renene:v:195:y:2022:i:c:p:331-343. 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/renewable-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.