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Improvement of Frequency Support for a DFIG Using a Virtual Synchronous Generator Strategy at Large Power Angles

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  • Zhishuai Hu

    (College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China)

  • Yongfeng Ren

    (College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China)

  • Qingtian Meng

    (College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China)

  • Pingping Yun

    (Inner Mongolia Guotian New Energy Technology Co., Ltd., Hohhot 010051, China)

  • Chenzhi Fang

    (College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China)

  • Yu Pan

    (College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China)

Abstract

The frequency regulation rate and operation stability of a doubly fed induction generator (DFIG) based on a virtual synchronous generator (VSG) strategy decreases under large-power-angle conditions, which reduces the grid frequency support capacity. This paper proposes the compound adaptive parameter (CAP) and coordinated primary frequency regulation (CPFR) strategies to improve the grid frequency support capacity in terms of multiple dimensions of the transient properties, operation condition range, and regulation duration. Mathematical and small signal models of the DFIG-VSG system are constructed. The effect of large-power-angle conditions on the transient properties under grid frequency perturbations is analyzed based on these models, and the CAP strategy for excitation control and virtual damping is formulated. The constraints of the rotor kinetic energy and the load increase capacity of the grid-side converter are analyzed, and the CPFR strategy is formulated based on this. Finally, the effectiveness of the proposed strategies is verified via simulations of single-machine and wind farm scenarios under grid frequency perturbation.

Suggested Citation

  • Zhishuai Hu & Yongfeng Ren & Qingtian Meng & Pingping Yun & Chenzhi Fang & Yu Pan, 2023. "Improvement of Frequency Support for a DFIG Using a Virtual Synchronous Generator Strategy at Large Power Angles," Energies, MDPI, vol. 16(2), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:914-:d:1034890
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    References listed on IDEAS

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    1. Xiangwu Yan & Xuewei Sun, 2020. "Inertia and Droop Frequency Control Strategy of Doubly-Fed Induction Generator Based on Rotor Kinetic Energy and Supercapacitor," Energies, MDPI, vol. 13(14), pages 1-19, July.
    2. Qian, Peng & Feng, Bo & Liu, Hao & Tian, Xiange & Si, Yulin & Zhang, Dahai, 2019. "Review on configuration and control methods of tidal current turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 125-139.
    3. Dezhi Ma & Wenyi Li, 2022. "Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments," Energies, MDPI, vol. 15(14), pages 1-20, July.
    4. Thongchart Kerdphol & Fathin Saifur Rahman & Yasunori Mitani, 2018. "Virtual Inertia Control Application to Enhance Frequency Stability of Interconnected Power Systems with High Renewable Energy Penetration," Energies, MDPI, vol. 11(4), pages 1-16, April.
    5. Jun Deng & Jianbo Wang & Shupeng Li & Haijing Zhang & Shutao Peng & Tong Wang, 2020. "Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control," Energies, MDPI, vol. 13(8), pages 1-17, April.
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    1. Jingming Zhao & Xiaolong Hao & Kai Zhang & Yuanyuan Li & Guanghui Zhang, 2023. "Investigation of the Vibration Transmission Characteristics of the Aero-Engine Casing System by Rotating Force Exciter," Energies, MDPI, vol. 16(4), pages 1-13, February.

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