IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i11p2989-d179868.html
   My bibliography  Save this article

Fuzzy Supervision Based-Pitch Angle Control of a Tidal Stream Generator for a Disturbed Tidal Input

Author

Listed:
  • Khaoula Ghefiri

    (Automatic Control Group—ACG, Department of Automatic Control and Systems Engineering, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), 48012 Bilbao, Spain
    Laboratory of Research in Automatic Control—LA.R.A, National Engineering School of Tunis (ENIT), University of Tunis El Manar, 1002 Tunis, Tunisia)

  • Aitor J. Garrido

    (Automatic Control Group—ACG, Department of Automatic Control and Systems Engineering, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), 48012 Bilbao, Spain)

  • Eugen Rusu

    (Department of Applied Mechanics, University Dunarea de Jos of Galati, Galati 800008, Romania)

  • Soufiene Bouallègue

    (Laboratory of Research in Automatic Control—LA.R.A, National Engineering School of Tunis (ENIT), University of Tunis El Manar, 1002 Tunis, Tunisia)

  • Joseph Haggège

    (Laboratory of Research in Automatic Control—LA.R.A, National Engineering School of Tunis (ENIT), University of Tunis El Manar, 1002 Tunis, Tunisia)

  • Izaskun Garrido

    (Automatic Control Group—ACG, Department of Automatic Control and Systems Engineering, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), 48012 Bilbao, Spain)

Abstract

Energy originating in tidal and ocean currents appears to be more intense and predictable than other renewables. In this area of research, the Tidal Stream Generator (TSG) power plant is one of the most recent forms of renewable energy to be developed. The main feature of this energy converter is related to the input resource which is the tidal current speed. Since its behaviour is variable and with disturbances, these systems must be able to maintain performance despite the input variations. This article deals with the design and control of a tidal stream converter system. The Fuzzy Gain Scheduling (FGS) technique is used to control the blade pitch angle of the turbine, in order to protect the plant in the case of a strong tidal range. Rotational speed control is investigated by means of the back-to-back power converters. The optimal speed is provided using the Maximum Power Point Tracking (MPPT) strategy to harness maximum power from the tidal speed. To verify the robustness of the developed methods, two scenarios of a disturbed tidal resource with regular and irregular conditions are considered. The performed results prove the output power optimization and adaptive change of the pitch angle control to maintain the plant within the tolerable limits.

Suggested Citation

  • Khaoula Ghefiri & Aitor J. Garrido & Eugen Rusu & Soufiene Bouallègue & Joseph Haggège & Izaskun Garrido, 2018. "Fuzzy Supervision Based-Pitch Angle Control of a Tidal Stream Generator for a Disturbed Tidal Input," Energies, MDPI, vol. 11(11), pages 1-21, November.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:2989-:d:179868
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/11/2989/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/11/2989/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frondel, Manuel & Ritter, Nolan & Schmidt, Christoph M. & Vance, Colin, 2010. "Economic impacts from the promotion of renewable energy technologies: The German experience," Energy Policy, Elsevier, vol. 38(8), pages 4048-4056, August.
    2. Thiébot, Jérôme & Bailly du Bois, Pascal & Guillou, Sylvain, 2015. "Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport – Application to the Alderney Race (Raz Blanchard), France," Renewable Energy, Elsevier, vol. 75(C), pages 356-365.
    3. Stuart Walker & Lorenzo Cappietti, 2017. "Experimental Studies of Turbulent Intensity around a Tidal Turbine Support Structure," Energies, MDPI, vol. 10(4), pages 1-21, April.
    4. Lewis, M.J. & Neill, S.P. & Hashemi, M.R. & Reza, M., 2014. "Realistic wave conditions and their influence on quantifying the tidal stream energy resource," Applied Energy, Elsevier, vol. 136(C), pages 495-508.
    5. Kalogirou, Soteris A., 2001. "Artificial neural networks in renewable energy systems applications: a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 5(4), pages 373-401, December.
    6. Khaoula Ghefiri & Soufiene Bouallègue & Izaskun Garrido & Aitor J. Garrido & Joseph Haggège, 2017. "Complementary Power Control for Doubly Fed Induction Generator-Based Tidal Stream Turbine Generation Plants," Energies, MDPI, vol. 10(7), pages 1-23, June.
    7. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
    8. Fernández, Luis M. & Jurado, Francisco & Saenz, José Ramón, 2008. "Aggregated dynamic model for wind farms with doubly fed induction generator wind turbines," Renewable Energy, Elsevier, vol. 33(1), pages 129-140.
    9. Ouammi, Ahmed & Zejli, Driss & Dagdougui, Hanane & Benchrifa, Rachid, 2012. "Artificial neural network analysis of Moroccan solar potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4876-4889.
    10. Zhou, Zhibin & Benbouzid, Mohamed & Frédéric Charpentier, Jean & Scuiller, Franck & Tang, Tianhao, 2013. "A review of energy storage technologies for marine current energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 390-400.
    11. Adam J. Collin & Anup J. Nambiar & David Bould & Ben Whitby & M. A. Moonem & Benjamin Schenkman & Stanley Atcitty & Paulo Chainho & Aristides E. Kiprakis, 2017. "Electrical Components for Marine Renewable Energy Arrays: A Techno-Economic Review," Energies, MDPI, vol. 10(12), pages 1-31, November.
    12. Kirke, B.K. & Lazauskas, L., 2011. "Limitations of fixed pitch Darrieus hydrokinetic turbines and the challenge of variable pitch," Renewable Energy, Elsevier, vol. 36(3), pages 893-897.
    13. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    14. Baroudi, Jamal A. & Dinavahi, Venkata & Knight, Andrew M., 2007. "A review of power converter topologies for wind generators," Renewable Energy, Elsevier, vol. 32(14), pages 2369-2385.
    15. Esteban, Miguel & Leary, David, 2012. "Current developments and future prospects of offshore wind and ocean energy," Applied Energy, Elsevier, vol. 90(1), pages 128-136.
    16. Khaoula Ghefiri & Izaskun Garrido & Soufiene Bouallègue & Joseph Haggège & Aitor J. Garrido, 2018. "Hybrid Neural Fuzzy Design-Based Rotational Speed Control of a Tidal Stream Generator Plant," Sustainability, MDPI, vol. 10(10), pages 1-26, October.
    17. Dounis, Anastasios I. & Kofinas, Panagiotis & Alafodimos, Constantine & Tseles, Dimitrios, 2013. "Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system," Renewable Energy, Elsevier, vol. 60(C), pages 202-214.
    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. Belkhier, Youcef & Achour, Abdelyazid & Ullah, Nasim & Shaw, Rabindra Nath & Chowdhury, Shahariar & Techato, Kuaanan, 2022. "Energy-based fuzzy supervisory non integer control for performance improvement of PMSG-Based marine energy system under swell effect and parameter uncertainties," Renewable Energy, Elsevier, vol. 186(C), pages 457-468.
    2. Eugen Rusu & Vengatesan Venugopal, 2019. "Special Issue “Offshore Renewable Energy: Ocean Waves, Tides and Offshore Wind”," Energies, MDPI, vol. 12(1), pages 1-4, January.

    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. Khaoula Ghefiri & Izaskun Garrido & Soufiene Bouallègue & Joseph Haggège & Aitor J. Garrido, 2018. "Hybrid Neural Fuzzy Design-Based Rotational Speed Control of a Tidal Stream Generator Plant," Sustainability, MDPI, vol. 10(10), pages 1-26, October.
    2. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    3. Seixas, M. & Melício, R. & Mendes, V.M.F. & Couto, C., 2016. "Blade pitch control malfunction simulation in a wind energy conversion system with MPC five-level converter," Renewable Energy, Elsevier, vol. 89(C), pages 339-350.
    4. Ladislas Mutunda Kangaji & Lagouge Tartibu & Pitshou N. Bokoro, 2023. "Modelling and Performance Analysis of a Tidal Current Turbine Connected to the Grid Using an Inductance (LCL) Filter," Energies, MDPI, vol. 16(16), pages 1-23, August.
    5. Kamel, Salah & El-Sattar, Hoda Abd & Vera, David & Jurado, Francisco, 2018. "Bioenergy potential from agriculture residues for energy generation in Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 28-37.
    6. Avri Eitan, 2021. "Promoting Renewable Energy to Cope with Climate Change—Policy Discourse in Israel," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    7. Farihan Mohamad & Jiashen Teh & Ching-Ming Lai & Liang-Rui Chen, 2018. "Development of Energy Storage Systems for Power Network Reliability: A Review," Energies, MDPI, vol. 11(9), pages 1-19, August.
    8. Chen, Hao & Chen, Jiachuan & Han, Guoyi & Cui, Qi, 2022. "Winding down the wind power curtailment in China: What made the difference?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    9. Heo, Jae & Jung, Jaehoon & Kim, Byungil & Han, SangUk, 2020. "Digital elevation model-based convolutional neural network modeling for searching of high solar energy regions," Applied Energy, Elsevier, vol. 262(C).
    10. Sharif, Arshian & Raza, Syed Ali & Ozturk, Ilhan & Afshan, Sahar, 2019. "The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: A global study with the application of heterogeneous panel estimations," Renewable Energy, Elsevier, vol. 133(C), pages 685-691.
    11. Pablo Benalcazar & Adam Suski & Jacek Kamiński, 2020. "Optimal Sizing and Scheduling of Hybrid Energy Systems: The Cases of Morona Santiago and the Galapagos Islands," Energies, MDPI, vol. 13(15), pages 1-20, August.
    12. Thiébaut, Maxime & Filipot, Jean-François & Maisondieu, Christophe & Damblans, Guillaume & Duarte, Rui & Droniou, Eloi & Chaplain, Nicolas & Guillou, Sylvain, 2020. "A comprehensive assessment of turbulence at a tidal-stream energy site influenced by wind-generated ocean waves," Energy, Elsevier, vol. 191(C).
    13. Chiri, Helios & Cid, Alba & Abascal, Ana J. & García-Alba, Javier & García, Andrés & Iturrioz, Arantza, 2019. "A high-resolution hindcast of sea level and 3D currents for marine renewable energy applications: A case study in the Bay of Biscay," Renewable Energy, Elsevier, vol. 134(C), pages 783-795.
    14. Gorle, J.M.R. & Chatellier, L. & Pons, F. & Ba, M., 2019. "Modulated circulation control around the blades of a vertical axis hydrokinetic turbine for flow control and improved performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 363-377.
    15. Yang, Shuai & Yuan, Jun & Nian, Victor & Li, Lu & Li, Hailong, 2022. "Economics of marinised offshore charging stations for electrifying the maritime sector," Applied Energy, Elsevier, vol. 322(C).
    16. Raijmakers, L.H.J. & Danilov, D.L. & Eichel, R.-A. & Notten, P.H.L., 2019. "A review on various temperature-indication methods for Li-ion batteries," Applied Energy, Elsevier, vol. 240(C), pages 918-945.
    17. Karatayev, Marat & Hall, Stephen & Kalyuzhnova, Yelena & Clarke, Michèle L., 2016. "Renewable energy technology uptake in Kazakhstan: Policy drivers and barriers in a transitional economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 120-136.
    18. Avri Eitan & Gillad Rosen & Lior Herman & Itay Fishhendler, 2020. "Renewable Energy Entrepreneurs: A Conceptual Framework," Energies, MDPI, vol. 13(10), pages 1-23, May.
    19. Deng, Guizhong & Zhang, Zhaoru & Li, Ye & Liu, Hailong & Xu, Wentao & Pan, Yulin, 2020. "Prospective of development of large-scale tidal current turbine array: An example numerical investigation of Zhejiang, China," Applied Energy, Elsevier, vol. 264(C).
    20. Zhang, Yuquan & Zang, Wei & Zheng, Jinhai & Cappietti, Lorenzo & Zhang, Jisheng & Zheng, Yuan & Fernandez-Rodriguez, E., 2021. "The influence of waves propagating with the current on the wake of a tidal stream turbine," Applied Energy, Elsevier, vol. 290(C).

    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:11:y:2018:i:11:p:2989-:d:179868. 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.