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Direct power control of DFIG based on discrete space vector modulation

Author

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  • Verij Kazemi, Mohammad
  • Sadeghi Yazdankhah, Ahmad
  • Madadi Kojabadi, Hossein

Abstract

This paper presents a new direct power control (DPC) strategy for a double fed induction generator (DFIG) based wind energy generation system. Switching vectors for rotor side converter were selected from the optimal switching table using the estimated stator flux position and the errors of the active and reactive power. A few number of voltage vectors may cause undesired power and stator current ripple. In this paper the increased number of voltage vectors with application of the Discrete Space Vector Modulation (DSVM) will be presented. Then a new switching table in supersynchronous and subsynchronous frames will be proposed. Simulation results of a 2MW DFIG system demonstrate the effectiveness and robustness of the proposed control strategy during variations of active and reactive power, machine parameters, and wind speed.

Suggested Citation

  • Verij Kazemi, Mohammad & Sadeghi Yazdankhah, Ahmad & Madadi Kojabadi, Hossein, 2010. "Direct power control of DFIG based on discrete space vector modulation," Renewable Energy, Elsevier, vol. 35(5), pages 1033-1042.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:5:p:1033-1042
    DOI: 10.1016/j.renene.2009.09.008
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    Citations

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    Cited by:

    1. Ademi, Sul & Jovanovic, Milutin, 2016. "Control of doubly-fed reluctance generators for wind power applications," Renewable Energy, Elsevier, vol. 85(C), pages 171-180.
    2. Hu, Jiabing & Yuan, Xiaoming, 2012. "VSC-based direct torque and reactive power control of doubly fed induction generator," Renewable Energy, Elsevier, vol. 40(1), pages 13-23.
    3. Samiei Sarkhanloo, Mehdi & Sadeghi Yazdankhah, Ahmad & Kazemzadeh, Rasool, 2012. "A new control strategy for small wind farm with capabilities of supplying required reactive power and transient stability improvement," Renewable Energy, Elsevier, vol. 44(C), pages 32-39.
    4. Raju, S.Krishnama & Pillai, G.N., 2016. "Design and real time implementation of type-2 fuzzy vector control for DFIG based wind generators," Renewable Energy, Elsevier, vol. 88(C), pages 40-50.
    5. Taveiros, F.E.V. & Barros, L.S. & Costa, F.B., 2015. "Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines," Energy, Elsevier, vol. 89(C), pages 896-906.
    6. Shahbazi, Mahmoud & Poure, Philippe & Saadate, Shahrokh & Zolghadri, Mohammad Reza, 2011. "Five-leg converter topology for wind energy conversion system with doubly fed induction generator," Renewable Energy, Elsevier, vol. 36(11), pages 3187-3194.
    7. Mohd Zin, Abdullah Asuhaimi B. & Pesaran H.A., Mahmoud & Khairuddin, Azhar B. & Jahanshaloo, Leila & Shariati, Omid, 2013. "An overview on doubly fed induction generators′ controls and contributions to wind based electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 692-708.
    8. Karthik Tamvada & Rohit Babu, 2022. "Control of doubly fed induction generator for power quality improvement: an overview," 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. 13(6), pages 2809-2832, December.
    9. Jain, Bhavna & Jain, Shailendra & Nema, R.K., 2015. "Control strategies of grid interfaced wind energy conversion system: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 983-996.
    10. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2016. "Comprehensive overview of grid interfaced wind energy generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 260-281.

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