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Dynamic behavior analysis under a grid fault scenario of a 2 MW double fed induction generator-based wind turbine: comparative study of the reference frame orientation approach

Author

Listed:
  • Ridha Cheikh

    (Centre de Développement des Energies Renouvelables, CDER
    Biskra University
    University of Picardie Jules Verne)

  • Hocine Belmili

    (Centre de Développement des Energies Renouvelables, CDER)

  • Arezki Menacer

    (Biskra University)

  • Said Drid

    (Batna University)

  • L. Chrifi-Alaoui

    (University of Picardie Jules Verne)

Abstract

This paper investigates a comprehensive analysis of the dynamic behavior of a typical 2 mw grid-connected double fed induction generator-based wind turbine during a symmetrical grid voltage dip scenario. The stator flux dynamics and the induced rotor electromotive force have been investigated aiming to undertake an accurate assessment of the DFIG behavior. Furthermore, without any complication of the DFIG vector control scheme, the paper offers a comparative study between the use of the stator flux reference frame orientation approach and the grid voltage reference frame orientation approach, this, in order to accurately assess the appropriate choice regarding the stability of the vector control scheme and hence, to have a good background about the LVRT capability of the DFIG during the studied grid fault. The simulation results have been performed through Matlab/Simulink environment.

Suggested Citation

  • Ridha Cheikh & Hocine Belmili & Arezki Menacer & Said Drid & L. Chrifi-Alaoui, 2019. "Dynamic behavior analysis under a grid fault scenario of a 2 MW double fed induction generator-based wind turbine: comparative study of the reference frame orientation approach," 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. 10(4), pages 632-643, August.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:4:d:10.1007_s13198-019-00790-0
    DOI: 10.1007/s13198-019-00790-0
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    References listed on IDEAS

    as
    1. Justo, Jackson John & Mwasilu, Francis & Jung, Jin-Woo, 2015. "Doubly-fed induction generator based wind turbines: A comprehensive review of fault ride-through strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 447-467.
    2. Abdel Karim Guediri & D. Ben Attous, 2017. "Modeling and fuzzy control of a wind energy system based on double-fed asynchronous machine for supply of power to the electrical network," 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 353-360, January.
    3. Abdelhak Dida & Djilani Ben Attous, 2017. "Fuzzy logic control of grid connected DFIG system using back-to-back converters," 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 129-136, January.
    4. El-Kharashi, Eyhab & Farid, Azmy Wadie, 2015. "Accurate assessment of the output energy from the doubly fed induction generators," Energy, Elsevier, vol. 93(P1), pages 406-415.
    5. Tohidi, Sajjad & Behnam, Mohammadi-ivatloo, 2016. "A comprehensive review of low voltage ride through of doubly fed induction wind generators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 412-419.
    6. M. Abdelbasset Mahboub & Said Drid & M. A. Sid & Ridha Cheikh, 2017. "Sliding mode control of grid connected brushless doubly fed induction generator driven by wind turbine in variable speed," 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(2), pages 788-798, November.
    7. Zou, Jianxiao & Peng, Chao & Yan, Yan & Zheng, Hong & Li, Yan, 2014. "A survey of dynamic equivalent modeling for wind farm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 956-963.
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