IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v36y2011i10p2655-2662.html
   My bibliography  Save this article

Maximum power point tracker of wind energy conversion system

Author

Listed:
  • Kesraoui, M.
  • Korichi, N.
  • Belkadi, A.

Abstract

In this paper, a simple control strategy for an optimal extraction of output power from grid connected variable speed wind energy conversion system (WECS) is presented. The system consists of a variable speed wind turbine coupled to a permanent magnet synchronous generator (PMSG) through a gear box, a diode bridge rectifier, a dc-to-dc boost converter and a current controlled voltage source inverter. The maximum power point tracker (MPPT) extracts maximum power from the wind turbine from cut-in to rated wind velocity by sensing only dc link power. The MPPT step and search algorithm in addition to the DC–DC and DC–AC converters PWM controllers are simulated using MATLAB-SIMULINK software. The obtained simulation results show that the objectives of extracting maximum power from the wind and delivering it correctly to the grid are reached.

Suggested Citation

  • Kesraoui, M. & Korichi, N. & Belkadi, A., 2011. "Maximum power point tracker of wind energy conversion system," Renewable Energy, Elsevier, vol. 36(10), pages 2655-2662.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:10:p:2655-2662
    DOI: 10.1016/j.renene.2010.04.028
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148110001953
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2010.04.028?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ram, J.Prasanth & Rajasekar, N. & Miyatake, Masafumi, 2017. "Design and overview of maximum power point tracking techniques in wind and solar photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1138-1159.
    2. Al-Saffar, Mustafa A. & Ismail, Esam H., 2015. "A high voltage ratio and low stress DC–DC converter with reduced input current ripple for fuel cell source," Renewable Energy, Elsevier, vol. 82(C), pages 35-43.
    3. Wei-Man Yang & Xing-Gui Wang & Xiao-Ying Li & Zheng-Ying Liu, 2014. "An Active Power Sharing Method among Distributed Energy Sources in an Islanded Series Micro-Grid," Energies, MDPI, vol. 7(12), pages 1-15, November.
    4. Ganjefar, Soheil & Ghasemi, Ali Akbar, 2014. "A novel-strategy controller design for maximum power extraction in stand-alone windmill systems," Energy, Elsevier, vol. 76(C), pages 326-335.
    5. Sabzali, Ahmad J. & Ismail, Esam H. & Behbehani, Hussain M., 2015. "High voltage step-up integrated double Boost–Sepic DC–DC converter for fuel-cell and photovoltaic applications," Renewable Energy, Elsevier, vol. 82(C), pages 44-53.
    6. Al-Saffar, Mustafa A. & Ismail, Esam H. & Sabzali, Ahmad J., 2013. "Family of ZC-ZVS converters with wide voltage range for renewable energy systems," Renewable Energy, Elsevier, vol. 56(C), pages 32-43.
    7. Kumar, Dipesh & Chatterjee, Kalyan, 2016. "A review of conventional and advanced MPPT algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 957-970.
    8. Arroyo, A. & Manana, M. & Gomez, C. & Fernandez, I. & Delgado, F. & Zobaa, Ahmed F., 2013. "A methodology for the low-cost optimisation of small wind turbine performance," Applied Energy, Elsevier, vol. 104(C), pages 1-9.
    9. Abdullah, M.A. & Yatim, A.H.M. & Tan, C.W. & Saidur, R., 2012. "A review of maximum power point tracking algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3220-3227.
    10. Radičević, Branko M. & Savić, Milan S. & Madsen, Søren Find & Badea, Ion, 2012. "Impact of wind turbine blade rotation on the lightning strike incidence – A theoretical and experimental study using a reduced-size model," Energy, Elsevier, vol. 45(1), pages 644-654.
    11. Atlaschian, Omid & Metzger, M., 2021. "Numerical model of vertical axis wind turbine performance in realistic gusty wind conditions," Renewable Energy, Elsevier, vol. 165(P1), pages 211-223.
    12. Karabacak, Murat, 2019. "A new perturb and observe based higher order sliding mode MPPT control of wind turbines eliminating the rotor inertial effect," Renewable Energy, Elsevier, vol. 133(C), pages 807-827.
    13. Xuan Chau Le & Minh Quan Duong & Kim Hung Le, 2022. "Review of the Modern Maximum Power Tracking Algorithms for Permanent Magnet Synchronous Generator of Wind Power Conversion Systems," Energies, MDPI, vol. 16(1), pages 1-25, December.
    14. Şerban, I. & Marinescu, C., 2012. "A sensorless control method for variable-speed small wind turbines," Renewable Energy, Elsevier, vol. 43(C), pages 256-266.
    15. Amir Raouf & Kotb B. Tawfiq & Elsayed Tag Eldin & Hossam Youssef & Elwy E. El-Kholy, 2023. "Wind Energy Conversion Systems Based on a Synchronous Generator: Comparative Review of Control Methods and Performance," Energies, MDPI, vol. 16(5), pages 1-22, February.
    16. Abdelhak Dida & Djilani Ben Attous, 2017. "Adaptive hill-climb searching method for MPPT algorithm based DFIG system using fuzzy logic controller," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 424-434, January.
    17. Kortabarria, Iñigo & Andreu, Jon & Martínez de Alegría, Iñigo & Jiménez, Jaime & Gárate, José Ignacio & Robles, Eider, 2014. "A novel adaptative maximum power point tracking algorithm for small wind turbines," Renewable Energy, Elsevier, vol. 63(C), pages 785-796.

    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:36:y:2011:i:10:p:2655-2662. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.