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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
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Şerban, I. & Marinescu, C., 2012. "A sensorless control method for variable-speed small wind turbines," Renewable Energy, Elsevier, vol. 43(C), pages 256-266.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Li, Le & Zhu, Donghai & Zou, Xudong & Hu, Jiabing & Kang, Yong & Guerrero, Josep M., 2023. "Review of frequency regulation requirements for wind power plants in international grid codes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    15. 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.
    16. 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.
    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.
    18. 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.

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