IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i5p1155-d144754.html
   My bibliography  Save this article

Research on Double-Fed Induction Generator Low Voltage Ride Through Based on Double Braking Resistors Using Fuzzy Control

Author

Listed:
  • Hao Dong

    (School of Electrical Engineering and Automation, Hefei University of Technology, No. 193 Tunxi Road, Hefei 230009, China)

  • Hongbin Wu

    (School of Electrical Engineering and Automation, Hefei University of Technology, No. 193 Tunxi Road, Hefei 230009, China)

  • Jing Pan

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China)

  • Yu Chen

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China)

  • Bin Xu

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China)

Abstract

The stator side of a double-fed induction generator (DFIG) is directly connected to the grid, so the DFIG is sensitive to a voltage drop caused by power system faults. A double resistors braking method based on fuzzy control is proposed to improve the performance of low-voltage ride through (LVRT) in this paper. Based on the mathematical model of DFIG, it analyzes the function of a series dynamical braking resistor (SDBR) theoretically. The series impedance value of the SDBR is determined by the variation of the rotor’s open circuit voltage, the voltage and current of the stator and the rotor, and also the heat capacity of the SDBR. In order to improve the LVRT capability of a DFIG under different fault grads, a double series resistors braking mode is presented. Through adopting a fuzzy control strategy, double series resistor switching is implemented. With the example system, the correctness and validity of the proposed method is verified.

Suggested Citation

  • Hao Dong & Hongbin Wu & Jing Pan & Yu Chen & Bin Xu, 2018. "Research on Double-Fed Induction Generator Low Voltage Ride Through Based on Double Braking Resistors Using Fuzzy Control," Energies, MDPI, vol. 11(5), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1155-:d:144754
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/5/1155/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/5/1155/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zaijun Wu & Chanxia Zhu & Minqiang Hu, 2013. "Improved Control Strategy for DFIG Wind Turbines for Low Voltage Ride Through," Energies, MDPI, vol. 6(3), pages 1-17, February.
    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. M. R. Shafiee & H. Shahbabaei Kartijkolaie & M. Firouzi & S. Mobayen & A. Fekih, 2020. "A Dynamic Multi-Cell FCL to Improve the Fault Ride through Capability of DFIG-Based Wind Farms," Energies, MDPI, vol. 13(22), pages 1-14, November.

    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. Saeed A. AlGhamdi, 2023. "Improvement of Fault Ride-Through Capability of Grid Connected Wind Turbine Based on a Switched Reluctance Generator Using a Dynamic Voltage Restorer," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    2. Cristian Napole & Oscar Barambones & Mohamed Derbeli & José Antonio Cortajarena & Isidro Calvo & Patxi Alkorta & Pablo Fernandez Bustamante, 2021. "Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System," Energies, MDPI, vol. 14(12), pages 1-19, June.
    3. Victor F. Mendes & Frederico F. Matos & Silas Y. Liu & Allan F. Cupertino & Heverton A. Pereira & Clodualdo V. De Sousa, 2016. "Low Voltage Ride-Through Capability Solutions for Permanent Magnet Synchronous Wind Generators," Energies, MDPI, vol. 9(1), pages 1-19, January.
    4. Wen-Yeau Chang, 2013. "Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method," Energies, MDPI, vol. 6(9), pages 1-18, September.
    5. Flávio Oliveira & Arthur Amorim & Lucas Encarnação & Jussara Fardin & Marcos Orlando & Selênio Silva & Domingos Simonetti, 2015. "Enhancing LVRT of DFIG by Using a Superconducting Current Limiter on Rotor Circuit," Energies, MDPI, vol. 9(1), pages 1-12, December.
    6. Jaime Rodríguez Arribas & Adrián Fernández Rodríguez & Ángel Hermoso Muñoz & Carlos Veganzones Nicolás, 2014. "Low Voltage Ride-through in DFIG Wind Generators by Controlling the Rotor Current without Crowbars," Energies, MDPI, vol. 7(2), pages 1-22, January.
    7. Fan Xiao & Zhe Zhang & Xianggen Yin, 2015. "Fault Current Characteristics of the DFIG under Asymmetrical Fault Conditions," Energies, MDPI, vol. 8(10), pages 1-22, September.

    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:jeners:v:11:y:2018:i:5:p:1155-:d:144754. 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.