IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i3p480-d133149.html
   My bibliography  Save this article

A Comparative Study on Controllers for Improving Transient Stability of DFIG Wind Turbines During Large Disturbances

Author

Listed:
  • Minh Quan Duong

    (Department of Electrical Engineering, The University of Da Nang- University of Science and Technology, Block A, 54 Nguyen Luong Bang Street, LienChieu District, DaNang 550000, Vietnam
    These authors contributed equally to this work.)

  • Sonia Leva

    (Dipartimento di Energia, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy
    These authors contributed equally to this work.)

  • Marco Mussetta

    (Dipartimento di Energia, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy
    These authors contributed equally to this work.)

  • Kim Hung Le

    (Department of Electrical Engineering, The University of Da Nang- University of Science and Technology, Block A, 54 Nguyen Luong Bang Street, LienChieu District, DaNang 550000, Vietnam
    These authors contributed equally to this work.)

Abstract

Under power system short-circuits, the Doubly-Fed Induction Generator (DFIG) Wind Turbines (WT) are required to be equipped with crowbar protections to preserve the lifetime of power electronics devices. When the crowbar is switched on, the rotor windings are short-circuited. In this case, the DFIG behaves like a squirrel-cage induction generator (SCIG) and can adsorb reactive power, which can affect the power system. A DFIG based-fault-ride through (FRT) scheme with crowbar, rotor-side and grid-side converters has recently been proposed for improving the transient stability: in particular, a hybrid cascade Fuzzy-PI-based controlling technique has been demonstrated to be able to control the Insulated Gate Bipolar Transistor (IGBT) based frequency converter in order to enhance the transient stability. The performance of this hybrid control scheme is analyzed here and compared to other techniques, under a three-phase fault condition on a single machine connected to the grid. In particular, the transient operation of the system is investigated by comparing the performance of the hybrid system with conventional proportional-integral and fuzzy logic controller, respectively. The system validation is carried out in Simulink, confirming the effectiveness of the coordinated advanced fuzzy logic control.

Suggested Citation

  • Minh Quan Duong & Sonia Leva & Marco Mussetta & Kim Hung Le, 2018. "A Comparative Study on Controllers for Improving Transient Stability of DFIG Wind Turbines During Large Disturbances," Energies, MDPI, vol. 11(3), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:480-:d:133149
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/3/480/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/3/480/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thales Ramos & Manoel F. Medeiros Júnior & Ricardo Pinheiro & Arthur Medeiros, 2019. "Slip Control of a Squirrel Cage Induction Generator Driven by an Electromagnetic Frequency Regulator to Achieve the Maximum Power Point Tracking," Energies, MDPI, vol. 12(11), pages 1-19, June.
    2. Radu Saulescu & Mircea Neagoe & Codruta Jaliu, 2018. "Conceptual Synthesis of Speed Increasers for Wind Turbine Conversion Systems," Energies, MDPI, vol. 11(9), pages 1-33, August.
    3. Mircea Neagoe & Radu Saulescu & Codruta Jaliu, 2019. "Design and Simulation of a 1 DOF Planetary Speed Increaser for Counter-Rotating Wind Turbines with Counter-Rotating Electric Generators," Energies, MDPI, vol. 12(9), pages 1-19, May.
    4. Mansoor Soomro & Zubair Ahmed Memon & Mazhar Hussain Baloch & Nayyar Hussain Mirjat & Laveet Kumar & Quynh T. Tran & Gaetano Zizzo, 2023. "Performance Improvement of Grid-Integrated Doubly Fed Induction Generator under Asymmetrical and Symmetrical Faults," Energies, MDPI, vol. 16(8), pages 1-20, April.
    5. Javier Carroquino & José-Luis Bernal-Agustín & Rodolfo Dufo-López, 2019. "Standalone Renewable Energy and Hydrogen in an Agricultural Context: A Demonstrative Case," Sustainability, MDPI, vol. 11(4), pages 1-25, February.
    6. David J. Rincon & Maria A. Mantilla & Juan M. Rey & Miguel Garnica & Damien Guilbert, 2023. "An Overview of Flexible Current Control Strategies Applied to LVRT Capability for Grid-Connected Inverters," Energies, MDPI, vol. 16(3), pages 1-20, January.
    7. Heng Nian & Xiao Jin, 2021. "Modeling and Analysis of Transient Reactive Power Characteristics of DFIG Considering Crowbar Circuit under Ultra HVDC Commutation Failure," Energies, MDPI, vol. 14(10), pages 1-17, May.
    8. Ahmed G. Abo-Khalil & Ali S. Alghamdi & Ali M. Eltamaly & M. S. Al-Saud & Praveen R. P. & Khairy Sayed & G. R. Bindu & Iskander Tlili, 2019. "Design of State Feedback Current Controller for Fast Synchronization of DFIG in Wind Power Generation Systems," Energies, MDPI, vol. 12(12), pages 1-26, June.
    9. Ukashatu Abubakar & Saad Mekhilef & Hazlie Mokhlis & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski & Hussain Bassi & Muhyaddin Jamal Hosin Rawa, 2018. "Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies," Energies, MDPI, vol. 11(9), pages 1-33, August.
    10. Woon-Gyu Lee & Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2018. "Low-Voltage Ride-Through Operation of Grid-Connected Microgrid Using Consensus-Based Distributed Control," Energies, MDPI, vol. 11(11), pages 1-18, October.
    11. Sen Song & Yihua Hu & Kai Ni & Joseph Yan & Guipeng Chen & Huiqing Wen & Xianming Ye, 2018. "Multi-Port High Voltage Gain Modular Power Converter for Offshore Wind Farms," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    12. Mahmoud Rihan & Mahmoud Nasrallah & Barkat Hasanin & Adel El-Shahat, 2022. "A Proposed Controllable Crowbar for a Brushless Doubly-Fed Reluctance Generator, a Grid-Integrated Wind Turbine," Energies, MDPI, vol. 15(11), pages 1-29, May.
    13. Nayeem Ninad & Estefan Apablaza-Arancibia & Michel Bui & Jay Johnson, 2021. "Commercial PV Inverter IEEE 1547.1 Ride-Through Assessments Using an Automated PHIL Test Platform," Energies, MDPI, vol. 14(21), pages 1-21, October.

    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:3:p:480-:d:133149. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.