IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i11p4847-d1409760.html

Constrained MPPT Strategy for Sustainable Wave Energy Converters with Magnetic Lead Screw

Author

Listed:
  • Wei Zhong

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Meng Zhang

    (China Special Vehicle Research Institute, Jingmen 448000, China)

  • Jiahui Zhang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Jiaqi Liu

    (China Special Vehicle Research Institute, Jingmen 448000, China)

  • Haitao Yu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

Abstract

Emerging magnetic lead screws (MLSs) have been proven to be promising in sustainable wave energy conversion areas due to their high efficiency and power density. This study is aimed at developing a constrained maximum power point tracking (MPPT) strategy for MLS-based wave energy converters (WECs). In this paper, the mechanism of the MLS is analyzed and the dynamic model of the MLS-based WEC is established. The variations in hydrodynamic coefficients were analyzed using ANSYS AQWA, based on which the theoretical MPPT requirements were explored. Afterward, two constraints (stroke and translator force constraint) were introduced to ensure the safe operation of the converter. An adaptive constrained genetic algorithm (ACGA) was applied to realize MPPT under constraints. For irregular wave situations, an extended Kalman filter (EKF) was applied to estimate the frequency and amplitude of the wave excitation force with which the constrained GA can be realized. Simulations and experiments were carried out to verify the constrained MPPT. In the two cases (wind speed u = 7 m/s and u = 10 m/s) of the simulation, the proposed ACGA can improve the energy harvest rate by 3.95% and 3.57% compared to the standard constrained genetic algorithm (SCGA), while this rate was improved by 6% in the experimental case.

Suggested Citation

  • Wei Zhong & Meng Zhang & Jiahui Zhang & Jiaqi Liu & Haitao Yu, 2024. "Constrained MPPT Strategy for Sustainable Wave Energy Converters with Magnetic Lead Screw," Sustainability, MDPI, vol. 16(11), pages 1-23, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4847-:d:1409760
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/11/4847/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/11/4847/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Falcão, A.F.O. & Gato, L.M.C. & Nunes, E.P.A.S., 2013. "A novel radial self-rectifying air turbine for use in wave energy converters. Part 2. Results from model testing," Renewable Energy, Elsevier, vol. 53(C), pages 159-164.
    2. 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.
    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. Guo, Peng & Zhang, Yongliang & Chen, Wenchuang, 2023. "Numerical analysis on a self-rectifying impulse turbine with U-shaped duct for oscillating water column wave energy conversion," Energy, Elsevier, vol. 274(C).
    2. Xuhui Yue & Jintao Zhang & Feifeng Meng & Jiaying Liu & Qijuan Chen & Dazhou Geng, 2023. "Multi-Timescale Lookup Table Based Maximum Power Point Tracking of an Inverse-Pendulum Wave Energy Converter: Power Assessments and Sensitivity Study," Energies, MDPI, vol. 16(17), pages 1-25, August.
    3. Xu, Conghao & Huang, Zhenhua, 2018. "A dual-functional wave-power plant for wave-energy extraction and shore protection: A wave-flume study," Applied Energy, Elsevier, vol. 229(C), pages 963-976.
    4. Silva, Jorge Marques & Vieira, Susana M. & Valério, Duarte & Henriques, João C.C., 2023. "GA-optimized inverse fuzzy model control of OWC wave power plants," Renewable Energy, Elsevier, vol. 204(C), pages 556-568.
    5. Ansarifard, Nazanin & Kianejad, S.S. & Fleming, Alan & Henderson, Alan & Chai, Shuhong, 2020. "Design optimization of a purely radial turbine for operation in the inhalation mode of an oscillating water column," Renewable Energy, Elsevier, vol. 152(C), pages 540-556.
    6. Falcão, António F.O., 2025. "Comparisons between self-rectifying air turbines and self-rectifying water turbines for OWC wave energy converters," Energy, Elsevier, vol. 335(C).
    7. Calheiros-Cabral, Tomás & Clemente, Daniel & Rosa-Santos, Paulo & Taveira-Pinto, Francisco & Ramos, Victor & Morais, Tiago & Cestaro, Henrique, 2020. "Evaluation of the annual electricity production of a hybrid breakwater-integrated wave energy converter," Energy, Elsevier, vol. 213(C).
    8. Henriques, J.C.C. & Gomes, R.P.F. & Gato, L.M.C. & Falcão, A.F.O. & Robles, E. & Ceballos, S., 2016. "Testing and control of a power take-off system for an oscillating-water-column wave energy converter," Renewable Energy, Elsevier, vol. 85(C), pages 714-724.
    9. Carrelhas, A.A.D. & Gato, L.M.C. & Henriques, J.C.C. & Falcão, A.F.O., 2020. "Experimental study of a self-rectifying biradial air turbine with fixed guide-vanes arranged into two concentric annular rows," Energy, Elsevier, vol. 198(C).
    10. Ferreira, D.N. & Gato, L.M.C. & Eça, L., 2023. "Efficiency of biradial impulse turbines concerning rotor blade angle, guide-vane deflection and blockage," Energy, Elsevier, vol. 266(C).
    11. Gato, L.M.C. & Maduro, A.R. & Carrelhas, A.A.D. & Henriques, J.C.C. & Ferreira, D.N., 2021. "Performance improvement of the biradial self-rectifying impulse air-turbine for wave energy conversion by multi-row guide vanes: Design and experimental results," Energy, Elsevier, vol. 216(C).
    12. Marques Silva, Jorge & Vieira, Susana M. & Valério, Duarte & Henriques, João C.C., 2023. "Model predictive control based on air pressure forecasting of OWC wave power plants," Energy, Elsevier, vol. 284(C).
    13. Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O. & Robles, E. & Faÿ, F.-X., 2016. "Latching control of a floating oscillating-water-column wave energy converter," Renewable Energy, Elsevier, vol. 90(C), pages 229-241.
    14. Hui Zhang & Wanan Sheng & Zhimin Zha & George Aggidis, 2022. "A Preliminary Study on Identifying Biomimetic Entities for Generating Novel Wave Energy Converters," Energies, MDPI, vol. 15(7), pages 1-20, March.
    15. Carrelhas, A.A.D. & Gato, L.M.C. & Henriques, J.C.C. & Falcão, A.F.O. & Varandas, J., 2019. "Test results of a 30 kW self-rectifying biradial air turbine-generator prototype," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 187-198.
    16. Tomás Cabral & Daniel Clemente & Paulo Rosa-Santos & Francisco Taveira-Pinto & Tiago Morais & Filipe Belga & Henrique Cestaro, 2020. "Performance Assessment of a Hybrid Wave Energy Converter Integrated into a Harbor Breakwater," Energies, MDPI, vol. 13(1), pages 1-22, January.
    17. Falcão, A.F.O. & Henriques, J.C.C. & Gato, L.M.C., 2017. "Rotational speed control and electrical rated power of an oscillating-water-column wave energy converter," Energy, Elsevier, vol. 120(C), pages 253-261.
    18. Ferreira, D.N. & Gato, L.M.C. & Eça, L. & Henriques, J.C.C., 2020. "Aerodynamic analysis of a biradial turbine with movable guide-vanes: Incidence and slip effects on efficiency," Energy, Elsevier, vol. 200(C).
    19. Henriques, J.C.C. & Portillo, J.C.C. & Gato, L.M.C. & Gomes, R.P.F. & Ferreira, D.N. & Falcão, A.F.O., 2016. "Design of oscillating-water-column wave energy converters with an application to self-powered sensor buoys," Energy, Elsevier, vol. 112(C), pages 852-867.
    20. Kostas Belibassakis & Alexandros Magkouris & Eugen Rusu, 2020. "A BEM for the Hydrodynamic Analysis of Oscillating Water Column Systems in Variable Bathymetry," Energies, MDPI, vol. 13(13), pages 1-24, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:16:y:2024:i:11:p:4847-:d:1409760. 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.