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Proportional-Resonant Control of Doubly-Fed Induction Generator Wind Turbines for Low-Voltage Ride-Through Enhancement

Author

Listed:
  • Yan Yan

    (School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China)

  • Meng Wang

    (College of Physics & Electronic Engineering, Henan Normal University, Xinxiang 453007, China)

  • Zhan-Feng Song

    (School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China)

  • Chang-Liang Xia

    (School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
    School of Electrical Engineering & Automation, Tianjin Polytechnic University, Tianjin 300160, China)

Abstract

A novel control strategy is proposed in this paper for the rotor side converter (RSC) of doubly-fed induction generator (DFIG)-based wind power generation systems. It is supposed to enhance the low-voltage ride-through (LVRT) capability of DFIGs during great-level grid voltage dips. The strategy consists of a proportional-resonant (PR) controller and auxiliary PR controllers. The auxiliary controllers compensate the output voltage of the RSC in case of grid faults, thus limiting the rotor inrush current of DFIG and meeting the requirements of LVRT. Sequential-component decompositions of current are not required in the control system to improve the response of system. Since the resonant compensator is a double-side integrator, the auxiliary controllers can be simplified through coordinate transformation. The feasibility of the control strategy is validated by simulation on a 1.5 MW wind-turbine driven DFIG system. The impact of the RSC converter voltage rating on the LVRT capability of DFIG is investigated. Meanwhile, the influence of angular frequency detection and control parameters are also discussed. Compared with traditional vector control schemes based on PI current controllers, the presented control strategy effectively suppress rotor current and reduce oscillations of DFIG power and torque under grid faults.

Suggested Citation

  • Yan Yan & Meng Wang & Zhan-Feng Song & Chang-Liang Xia, 2012. "Proportional-Resonant Control of Doubly-Fed Induction Generator Wind Turbines for Low-Voltage Ride-Through Enhancement," Energies, MDPI, vol. 5(11), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:11:p:4758-4778:d:21571
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    References listed on IDEAS

    as
    1. Song, Zhanfeng & Xia, Changliang & Shi, Tingna, 2010. "Assessing transient response of DFIG based wind turbines during voltage dips regarding main flux saturation and rotor deep-bar effect," Applied Energy, Elsevier, vol. 87(10), pages 3283-3293, October.
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    Cited by:

    1. Ramesh Kumar Behara & Akshay Kumar Saha, 2023. "Neural Network Predictive Control for Improved Reliability of Grid-Tied DFIG-Based Wind Energy System under the Three-Phase Fault Condition," Energies, MDPI, vol. 16(13), pages 1-47, June.
    2. 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.
    3. Norbert Klaes & Florian Pöschke & Horst Schulte, 2021. "Grid Forming Stator Flux Control of Doubly-Fed Induction Generator," Energies, MDPI, vol. 14(20), pages 1-12, October.
    4. Lin, Yonggang & Tu, Le & Liu, Hongwei & Li, Wei, 2016. "Fault analysis of wind turbines in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 482-490.
    5. Ahmed Sobhy & Ahmed G. Abo-Khalil & Dong Lei & Tareq Salameh & Adel Merabet & Malek Alkasrawi, 2022. "Coupling DFIG-Based Wind Turbines with the Grid under Voltage Imbalance Conditions," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    6. Kumeshan Reddy & Akshay Kumar Saha, 2022. "An Investigation into the Utilization of Swarm Intelligence for the Design of Dual Vector and Proportional–Resonant Controllers for Regulation of Doubly Fed Induction Generators Subject to Unbalanced ," Energies, MDPI, vol. 15(20), pages 1-36, October.
    7. Qingsong Wang & Shuangxia Niu, 2015. "Electromagnetic Design and Analysis of a Novel Fault-Tolerant Flux-Modulated Memory Machine," Energies, MDPI, vol. 8(8), pages 1-17, August.
    8. 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.
    9. Md Alamgir Hossain & Hemanshu Roy Pota & Walid Issa & Md Jahangir Hossain, 2017. "Overview of AC Microgrid Controls with Inverter-Interfaced Generations," Energies, MDPI, vol. 10(9), pages 1-27, August.

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