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Virtual Inertia Coordinated Allocation Method Considering Inertia Demand and Wind Turbine Inertia Response Capability

Author

Listed:
  • Bo Xu

    (School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Linwei Zhang

    (Wenzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Wenzhou 325000, China)

  • Yin Yao

    (School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Xiangdong Yu

    (School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Yixin Yang

    (School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Dongdong Li

    (School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

Abstract

Wind turbines can have inertia characteristics similar to synchronous generators through virtual inertia control, which helps to provide the inertia support for the system. However, there is the problem of how to coordinate the allocation of virtual inertia among wind turbines. In response to this problem, this paper first analyzes the inertia response capabilities of wind turbines and puts forward an evaluation index that quantifies the inertia response capability of wind turbines. The inertia response capability of a wind farm is evaluated at the entire system level. Based on the evaluation index, the virtual inertia coordinated allocation method considers the system inertia demand and the inertia response capabilities of the wind turbines. It is proposed to release the inertia response capability of each wind turbine while avoiding an excessive release of kinetic energy and bring a second impact by wind turbines’ exiting operation. Finally, the effectiveness of the proposed method is verified by a simulation case study.

Suggested Citation

  • Bo Xu & Linwei Zhang & Yin Yao & Xiangdong Yu & Yixin Yang & Dongdong Li, 2021. "Virtual Inertia Coordinated Allocation Method Considering Inertia Demand and Wind Turbine Inertia Response Capability," Energies, MDPI, vol. 14(16), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5002-:d:614693
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    References listed on IDEAS

    as
    1. Attya, A.B. & Dominguez-Garcia, J.L. & Anaya-Lara, O., 2018. "A review on frequency support provision by wind power plants: Current and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2071-2087.
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    Cited by:

    1. Zbigniew Skibko & Grzegorz Hołdyński & Andrzej Borusiewicz, 2022. "Impact of Wind Power Plant Operation on Voltage Quality Parameters—Example from Poland," Energies, MDPI, vol. 15(15), pages 1-16, August.
    2. Hui Liu & Peng Wang & Teyang Zhao & Zhenggang Fan & Houlin Pan, 2022. "A Group-Based Droop Control Strategy Considering Pitch Angle Protection to Deloaded Wind Farms," Energies, MDPI, vol. 15(8), pages 1-23, April.
    3. Md Asaduzzaman Shobug & Nafis Ahmed Chowdhury & Md Alamgir Hossain & Mohammad J. Sanjari & Junwei Lu & Fuwen Yang, 2024. "Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects," Energies, MDPI, vol. 17(11), pages 1-33, June.
    4. Jiyu Song & Xinhang Zhou & Zhiquan Zhou & Yang Wang & Yifan Wang & Xutao Wang, 2023. "Review of Low Inertia in Power Systems Caused by High Proportion of Renewable Energy Grid Integration," Energies, MDPI, vol. 16(16), pages 1-19, August.

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