IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i15p2948-d253582.html
   My bibliography  Save this article

Wave-to-Wire Power Maximization Control for All-Electric Wave Energy Converters with Non-Ideal Power Take-Off

Author

Listed:
  • Marios Charilaos Sousounis

    (School of Engineering, Institute for Energy Systems, The University of Edinburgh, Faraday Building, The King’s Buildings, Colin Maclaurin Road, Edinburgh EH9 3DW, UK)

  • Jonathan Shek

    (School of Engineering, Institute for Energy Systems, The University of Edinburgh, Faraday Building, The King’s Buildings, Colin Maclaurin Road, Edinburgh EH9 3DW, UK)

Abstract

The research presented in this paper investigates novel ways of optimizing all-electric wave energy converters for maximum wave-to-wire efficiency. In addition, a novel velocity-based controller is presented which was designed specifically for wave-to-wire efficiency maximization. In an ideal wave energy converter system, maximum efficiency in power conversion is achieved by maximizing the hydrodynamic efficiency of the floating body. However, in a real system, that involves losses at different stages from wave to grid, and the global wave-to-wire optimum differs from the hydrodynamic one. For that purpose, a full wave-to-wire wave energy converter that uses a direct-drive permanent magnet linear generator was modelled in detail. The modelling aspect included complex hydrodynamic simulations using Edinburgh Wave Systems Simulation Toolbox and the electrical modelling of the generator, controllers, power converters and the power transmission side with grid connection in MATLAB/Simulink. Three reference controllers were developed based on the previous literature: a real damping, a reactive spring damping and a velocity-based controller. All three literature-based controllers were optimized for maximum wave-to-wire efficiency for a specific wave energy resource profile. The results showed the advantage of using reactive power to bring the velocity of the point absorber and the wave excitation force in phase, which was done directly using the velocity-based controller, achieving higher efficiencies. Furthermore, it was demonstrated that maximizing hydrodynamic energy capture may not lead to maximum wave-to-wire efficiency. Finally, the controllers were also tested in random sea states, and their performance was evaluated.

Suggested Citation

  • Marios Charilaos Sousounis & Jonathan Shek, 2019. "Wave-to-Wire Power Maximization Control for All-Electric Wave Energy Converters with Non-Ideal Power Take-Off," Energies, MDPI, vol. 12(15), pages 1-27, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2948-:d:253582
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/15/2948/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/15/2948/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jonas Sjolte & Christian McLisky Sandvik & Elisabetta Tedeschi & Marta Molinas, 2013. "Exploring the Potential for Increased Production from the Wave Energy Converter Lifesaver by Reactive Control," Energies, MDPI, vol. 6(8), pages 1-28, July.
    2. Wang, Liguo & Isberg, Jan & Tedeschi, Elisabetta, 2018. "Review of control strategies for wave energy conversion systems and their validation: the wave-to-wire approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 366-379.
    3. O'Sullivan, Adrian C.M. & Lightbody, Gordon, 2017. "Co-design of a wave energy converter using constrained predictive control," Renewable Energy, Elsevier, vol. 102(PA), pages 142-156.
    4. Philip Balitsky & Nicolas Quartier & Gael Verao Fernandez & Vasiliki Stratigaki & Peter Troch, 2018. "Analyzing the Near-Field Effects and the Power Production of an Array of Heaving Cylindrical WECs and OSWECs Using a Coupled Hydrodynamic-PTO Model," Energies, MDPI, vol. 11(12), pages 1-32, December.
    5. Penalba, Markel & Ringwood, John V., 2019. "A high-fidelity wave-to-wire model for wave energy converters," Renewable Energy, Elsevier, vol. 134(C), pages 367-378.
    6. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    7. Rui Mendes & Maria Do Rosário Calado & Sílvio Mariano, 2018. "Maximum Power Point Tracking for a Point Absorber Device with a Tubular Linear Switched Reluctance Generator," Energies, MDPI, vol. 11(9), pages 1-18, August.
    8. Yong Wan & Chenqing Fan & Jie Zhang & Junmin Meng & Yongshou Dai & Ligang Li & Weifeng Sun & Peng Zhou & Jing Wang & Xudong Zhang, 2017. "Wave Energy Resource Assessment off the Coast of China around the Zhoushan Islands," Energies, MDPI, vol. 10(9), pages 1-25, September.
    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. Wang, LiGuo & Lin, MaoFeng & Tedeschi, Elisabetta & Engström, Jens & Isberg, Jan, 2020. "Improving electric power generation of a standalone wave energy converter via optimal electric load control," Energy, Elsevier, vol. 211(C).
    2. Hayrettin Bora Karayaka & Yi-Hsiang Yu & Eduard Muljadi, 2021. "Investigations into Balancing Peak-to-Average Power Ratio and Mean Power Extraction for a Two-Body Point-Absorber Wave Energy Converter," Energies, MDPI, vol. 14(12), pages 1-24, June.
    3. José Carlos Ugaz Peña & Christian Luis Medina Rodríguez & Gustavo O. Guarniz Avalos, 2023. "Study of a New Wave Energy Converter with Perturb and Observe Maximum Power Point Tracking Method," Sustainability, MDPI, vol. 15(13), pages 1-18, July.
    4. Oscar Barambones & Jose M. Gonzalez de Durana & Isidro Calvo, 2018. "Adaptive Sliding Mode Control for a Double Fed Induction Generator Used in an Oscillating Water Column System," Energies, MDPI, vol. 11(11), pages 1-27, October.
    5. Gianmaria Giannini & Paulo Rosa-Santos & Victor Ramos & Francisco Taveira-Pinto, 2020. "On the Development of an Offshore Version of the CECO Wave Energy Converter," Energies, MDPI, vol. 13(5), pages 1-24, February.
    6. Tunde Aderinto & Hua Li, 2019. "Review on Power Performance and Efficiency of Wave Energy Converters," Energies, MDPI, vol. 12(22), pages 1-24, November.
    7. Shih-Chun Hsiao & Chao-Tzuen Cheng & Tzu-Yin Chang & Wei-Bo Chen & Han-Lun Wu & Jiun-Huei Jang & Lee-Yaw Lin, 2021. "Assessment of Offshore Wave Energy Resources in Taiwan Using Long-Term Dynamically Downscaled Winds from a Third-Generation Reanalysis Product," Energies, MDPI, vol. 14(3), pages 1-25, January.
    8. Bechlenberg, Alva & Wei, Yanji & Jayawardhana, Bayu & Vakis, Antonis I., 2023. "Analysing the influence of power take-off adaptability on the power extraction of dense wave energy converter arrays," Renewable Energy, Elsevier, vol. 211(C), pages 1-12.
    9. Yadong Wen & Weijun Wang & Hua Liu & Longbo Mao & Hongju Mi & Wenqiang Wang & Guoping Zhang, 2018. "A Shape Optimization Method of a Specified Point Absorber Wave Energy Converter for the South China Sea," Energies, MDPI, vol. 11(10), pages 1-22, October.
    10. Lorenzo Ciappi & Lapo Cheli & Irene Simonetti & Alessandro Bianchini & Giampaolo Manfrida & Lorenzo Cappietti, 2020. "Wave-to-Wire Model of an Oscillating-Water-Column Wave Energy Converter and Its Application to Mediterranean Energy Hot-Spots," Energies, MDPI, vol. 13(21), pages 1-28, October.
    11. Penalba, Markel & Davidson, Josh & Windt, Christian & Ringwood, John V., 2018. "A high-fidelity wave-to-wire simulation platform for wave energy converters: Coupled numerical wave tank and power take-off models," Applied Energy, Elsevier, vol. 226(C), pages 655-669.
    12. Faÿ, François-Xavier & Henriques, João C. & Kelly, James & Mueller, Markus & Abusara, Moahammad & Sheng, Wanan & Marcos, Marga, 2020. "Comparative assessment of control strategies for the biradial turbine in the Mutriku OWC plant," Renewable Energy, Elsevier, vol. 146(C), pages 2766-2784.
    13. Liu, Zhen & Xu, Chuanli & Kim, Kilwon & Choi, Jongsu & Hyun, Beom-soo, 2021. "An integrated numerical model for the chamber-turbine system of an oscillating water column wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    14. Erfan Amini & Rojin Asadi & Danial Golbaz & Mahdieh Nasiri & Seyed Taghi Omid Naeeni & Meysam Majidi Nezhad & Giuseppe Piras & Mehdi Neshat, 2021. "Comparative Study of Oscillating Surge Wave Energy Converter Performance: A Case Study for Southern Coasts of the Caspian Sea," Sustainability, MDPI, vol. 13(19), pages 1-21, October.
    15. Domenico Curto & Vincenzo Franzitta & Andrea Guercio, 2021. "Sea Wave Energy. A Review of the Current Technologies and Perspectives," Energies, MDPI, vol. 14(20), pages 1-31, October.
    16. Zhigang Liu & Wei Huang & Shi Liu & Xiaomei Wu & Chun Sing Lai & Yi Yang, 2023. "An Improved Hydraulic Energy Storage Wave Power-Generation System Based on QPR Control," Energies, MDPI, vol. 16(2), pages 1-18, January.
    17. Aleix Maria-Arenas & Aitor J. Garrido & Eugen Rusu & Izaskun Garrido, 2019. "Control Strategies Applied to Wave Energy Converters: State of the Art," Energies, MDPI, vol. 12(16), pages 1-19, August.
    18. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    19. Yao, Ganzhou & Luo, Zirong & Lu, Zhongyue & Wang, Mangkuan & Shang, Jianzhong & Guerrerob, Josep M., 2023. "Unlocking the potential of wave energy conversion: A comprehensive evaluation of advanced maximum power point tracking techniques and hybrid strategies for sustainable energy harvesting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    20. Mehdi Neshat & Nataliia Y. Sergiienko & Erfan Amini & Meysam Majidi Nezhad & Davide Astiaso Garcia & Bradley Alexander & Markus Wagner, 2020. "A New Bi-Level Optimisation Framework for Optimising a Multi-Mode Wave Energy Converter Design: A Case Study for the Marettimo Island, Mediterranean Sea," Energies, MDPI, vol. 13(20), pages 1-23, October.

    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:12:y:2019:i:15:p:2948-:d:253582. 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.