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Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments

Author

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  • Dezhi Ma

    (Collage of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
    Department of Engineering Training Teaching, Inner Mongolia University of Technology, Hohhot 010051, China)

  • Wenyi Li

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

Abstract

With the increasing proportion of wind turbines in power grids, they are required to have capabilities of active and efficient virtual inertial response to maintain grid frequency stability. However, the virtual inertial control methods currently used in doubly-fed induction generator (DFIG) units suffer from a secondary frequency drop (SFD) problem. Although the SFD can be inhibited by reducing the active power support strength of the DFIG units during inertia response, it will undoubtedly weaken the virtual inertia of the units. Therefore, how to eliminate the SFD while increasing the virtual inertia of the units is a worthy issue for studying. To solve this issue, a wind-storage combined virtual inertial control system based on quantization and regulation decoupling of active power increments is proposed in this paper. First, by setting the parameters of a proportional–differential (P-D) algorithm, the total active power increments required for virtual inertial response are quantified at the DFIG level. Secondly, a curve-shifting method based on the rate of change of frequency is adopted to adjust the active power output of the DFIG units. Finally, a battery energy storage system (BESS) is used to compensate for the power shortages of the units according to the quantized value of the active power increments. Simulations show that the control method can not only eliminate SFD but also effectively increase the system’s virtual inertia.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5184-:d:864892
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    References listed on IDEAS

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    1. Sijia Tu & Bingda Zhang & Xianglong Jin, 2019. "Research on DFIG-ES System to Enhance the Fast-Frequency Response Capability of Wind Farms," Energies, MDPI, vol. 12(18), pages 1-20, September.
    2. Chao Wang & Jianyuan Xu & Liang Wang & Dan Song, 2021. "Research on optimization strategy of grid frequency modulation based on doubly-fed wind turbines [Control strategy of DER inverter for improving frequency stability of microgrid]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(1), pages 229-239.
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    Cited by:

    1. 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.

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