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The LVRT Control Scheme for PMSG-Based Wind Turbine Generator Based on the Coordinated Control of Rotor Overspeed and Supercapacitor Energy Storage

Author

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  • Xiangwu Yan

    (State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, China
    Key Laboratory of Distributed Energy Storage and Micro-Grid of Hebei Province, North China Electric Power University, Baoding 071003, China)

  • Linlin Yang

    (State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, China)

  • Tiecheng Li

    (State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China)

Abstract

With the increasing penetration level of wind turbine generators (WTGs) integrated into the power system, the WTGs are enforced to aid network and fulfill the low voltage ride through (LVRT) requirements during faults. To enhance LVRT capability of permanent magnet synchronous generator (PMSG)-based WTG connected to the grid, this paper presents a novel coordinated control scheme named overspeed-while-storing control for PMSG-based WTG. The proposed control scheme purely regulates the rotor speed to reduce the input power of the machine-side converter (MSC) during slight voltage sags. Contrarily, when the severe voltage sag occurs, the coordinated control scheme sets the rotor speed at the upper-limit to decrease the input power of the MSC at the greatest extent, while the surplus power is absorbed by the supercapacitor energy storage (SCES) so as to reduce its maximum capacity. Moreover, the specific capacity configuration scheme of SCES is detailed in this paper. The effectiveness of the overspeed-while-storing control in enhancing the LVRT capability is validated under different levels of voltage sags and different fault types in MATLAB/Simulink.

Suggested Citation

  • Xiangwu Yan & Linlin Yang & Tiecheng Li, 2021. "The LVRT Control Scheme for PMSG-Based Wind Turbine Generator Based on the Coordinated Control of Rotor Overspeed and Supercapacitor Energy Storage," Energies, MDPI, vol. 14(2), pages 1-22, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:518-:d:483318
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    References listed on IDEAS

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    1. Hui Huang & Chengxiong Mao & Jiming Lu & Dan Wang, 2014. "Electronic Power Transformer Control Strategy in Wind Energy Conversion Systems for Low Voltage Ride-through Capability Enhancement of Directly Driven Wind Turbines with Permanent Magnet Synchronous G," Energies, MDPI, vol. 7(11), pages 1-18, November.
    2. Liang Yuan & Ke Meng & Jingjie Huang & Zhao Yang Dong & Wang Zhang & Xiaorong Xie, 2020. "Development of HVRT and LVRT Control Strategy for PMSG-Based Wind Turbine Generators," Energies, MDPI, vol. 13(20), pages 1-16, October.
    3. Nasiri, M. & Milimonfared, J. & Fathi, S.H., 2015. "A review of low-voltage ride-through enhancement methods for permanent magnet synchronous generator based wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 399-415.
    4. Mohamed Abdelrahem & Ralph Kennel, 2016. "Fault-Ride through Strategy for Permanent-Magnet Synchronous Generators in Variable-Speed Wind Turbines," Energies, MDPI, vol. 9(12), pages 1-15, December.
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    Cited by:

    1. M. A. Hannan & Ali Q. Al-Shetwi & M. S. Mollik & Pin Jern Ker & M. Mannan & M. Mansor & Hussein M. K. Al-Masri & T. M. Indra Mahlia, 2023. "Wind Energy Conversions, Controls, and Applications: A Review for Sustainable Technologies and Directions," Sustainability, MDPI, vol. 15(5), pages 1-30, February.
    2. Lasantha Meegahapola & Siqi Bu, 2021. "Special Issue: “Wind Power Integration into Power Systems: Stability and Control Aspects”," Energies, MDPI, vol. 14(12), pages 1-4, June.
    3. Hemant Ahuja & Arika Singh & Sachin Sharma & Gulshan Sharma & Pitshou N. Bokoro, 2022. "Coordinated Control of Wind Energy Conversion System during Unsymmetrical Fault at Grid," Energies, MDPI, vol. 15(13), pages 1-15, July.
    4. Ahmed G. Abo-Khalil & Mohammad Alobaid, 2023. "Optimized Control for PMSG Wind Turbine Systems under Unbalanced and Distorted Grid Voltage Scenarios," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    5. Tomasz Popławski & Sebastian Dudzik & Piotr Szeląg & Janusz Baran, 2021. "A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy Forecasting," Energies, MDPI, vol. 14(19), pages 1-24, September.

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