IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i2p842-d481365.html
   My bibliography  Save this article

A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine

Author

Listed:
  • Omid Sadeghian

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran)

  • Sajjad Tohidi

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran)

  • Behnam Mohammadi-Ivatloo

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran
    Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Fazel Mohammadi

    (Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 1K3, Canada)

Abstract

The Brushless Doubly-Fed Reluctance Machine (BDFRM) has been widely investigated in numerous research studies since it is brushless and cageless and there is no winding on the rotor of this emerging machine. This feature leads to several advantages for this machine in comparison with its induction counterpart, i.e., Brushless Doubly-Fed Induction Machine (BDFIM). Less maintenance, less power losses, and also more reliability are the major advantages of BDFRM compared to BDFIM. The design complexity of its reluctance rotor, as well as flux patterns for indirect connection between the two windings mounted on the stator including power winding and control winding, have restricted the development of this machine technology. In the literature, there is not a comprehensive review of the research studies related to BDFRM. In this paper, the previous research studies are reviewed from different points of view, such as operation, design, control, transient model, dynamic model, power factor, Maximum Power Point Tracking (MPPT), and losses. It is revealed that the BDFRM is still evolving since the theoretical results have shown that this machine operates efficiently if it is well-designed.

Suggested Citation

  • Omid Sadeghian & Sajjad Tohidi & Behnam Mohammadi-Ivatloo & Fazel Mohammadi, 2021. "A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine," Sustainability, MDPI, vol. 13(2), pages 1-39, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:842-:d:481365
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/2/842/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/2/842/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. Chaal, Hamza & Jovanovic, Milutin, 2012. "Power control of brushless doubly-fed reluctance drive and generator systems," Renewable Energy, Elsevier, vol. 37(1), pages 419-425.
    4. Xinhua Guo & Shaozhe Wu & Weinong Fu & Yulong Liu & Yunchong Wang & Peihuang Zeng, 2016. "Control of a Dual-Stator Flux-Modulated Motor for Electric Vehicles," Energies, MDPI, vol. 9(7), pages 1-19, July.
    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. Mohamed Abdelrahem & Christoph Hackl & Ralph Kennel & Jose Rodriguez, 2021. "Low Sensitivity Predictive Control for Doubly-Fed Induction Generators Based Wind Turbine Applications," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    2. Taufik Taluo & Leposava Ristić & Milutin Jovanović, 2021. "Dynamic Modeling and Control of BDFRG under Unbalanced Grid Conditions," Energies, MDPI, vol. 14(14), pages 1-22, July.

    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. Agha Kashkooli, M.R. & Jovanović, Milutin G., 2021. "Sensorless adaptive control of brushless doubly-fed reluctance generators for wind power applications," Renewable Energy, Elsevier, vol. 177(C), pages 932-941.
    2. Ademi, Sul & Jovanovic, Milutin, 2016. "Control of doubly-fed reluctance generators for wind power applications," Renewable Energy, Elsevier, vol. 85(C), pages 171-180.
    3. Junshuai Cao & Xinhua Guo & Weinong Fu & Rongkun Wang & Yulong Liu & Liaoyuan Lin, 2020. "A Method to Improve Torque Density in a Flux-Switching Permanent Magnet Machine," Energies, MDPI, vol. 13(20), pages 1-9, October.
    4. Shukla, Rishabh Dev & Tripathi, Ramesh Kumar & Thakur, Padmanabh, 2017. "DC grid/bus tied DFIG based wind energy system," Renewable Energy, Elsevier, vol. 108(C), pages 179-193.
    5. Mohamed Abdelrahem & Christoph Hackl & Ralph Kennel & Jose Rodriguez, 2021. "Low Sensitivity Predictive Control for Doubly-Fed Induction Generators Based Wind Turbine Applications," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    6. Hao Yan & Yongxiang Xu & Jibin Zou, 2016. "A Phase Current Reconstruction Approach for Three-Phase Permanent-Magnet Synchronous Motor Drive," Energies, MDPI, vol. 9(10), pages 1-16, October.
    7. Mathias Arbeiter & Martin Hopp & Martin Huhn, 2021. "LVRT Impact on Tower Loads, Drivetrain Torque and Rotational Speed—Measurement Results of a 2-MW Class DFIG Wind Turbine," Energies, MDPI, vol. 14(12), pages 1-13, June.
    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. Manisha Sawant & Sameer Thakare & A. Prabhakara Rao & Andrés E. Feijóo-Lorenzo & Neeraj Dhanraj Bokde, 2021. "A Review on State-of-the-Art Reviews in Wind-Turbine- and Wind-Farm-Related Topics," Energies, MDPI, vol. 14(8), pages 1-30, April.
    10. Homin Shin & Junghwan Chang, 2018. "Characteristics Analysis of Doubly Fed Magnetic Geared Motor Considering Winding Frequency Conditions," Energies, MDPI, vol. 11(10), pages 1-16, September.
    11. 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.
    12. Tareen, Wajahat Ullah & Mekhilef, Saad & Seyedmahmoudian, Mehdi & Horan, Ben, 2017. "Active power filter (APF) for mitigation of power quality issues in grid integration of wind and photovoltaic energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 635-655.
    13. Taufik Taluo & Leposava Ristić & Milutin Jovanović, 2021. "Dynamic Modeling and Control of BDFRG under Unbalanced Grid Conditions," Energies, MDPI, vol. 14(14), pages 1-22, July.
    14. Solís-Chaves, J.S. & Rocha-Osorio, C.M. & Murari, A.L.L. & Lira, Valdemir Martins & Sguarezi Filho, Alfeu J., 2018. "Extracting potable water from humid air plus electric wind generation: A possible application for a Brazilian prototype," Renewable Energy, Elsevier, vol. 121(C), pages 102-115.
    15. Md. Rashidul Islam & Md. Najmul Huda & Jakir Hasan & Mohammad Ashraf Hossain Sadi & Ahmed AbuHussein & Tushar Kanti Roy & Md. Apel Mahmud, 2020. "Fault Ride Through Capability Improvement of DFIG Based Wind Farm Using Nonlinear Controller Based Bridge-Type Flux Coupling Non-Superconducting Fault Current Limiter," Energies, MDPI, vol. 13(7), pages 1-25, April.

    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:jsusta:v:13:y:2021:i:2:p:842-:d:481365. 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.