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Research on Flexible Virtual Inertia Control Method Based on the Small Signal Model of DC Microgrid

Author

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  • Shengyang Lu

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China)

  • Tongwei Yu

    (Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China)

  • Huiwen Liu

    (School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Wuyang Zhang

    (Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China)

  • Yuqiu Sui

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Junyou Yang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Li Zhang

    (School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Jiaxu Zhou

    (Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China)

  • Haixin Wang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

Abstract

Renewable energy is usually connected to the DC micro-grid by a large number of power electronic devices, which have the advantages of a fast system response, but the disadvantage to reduce the inertia of the system, which makes the stability of the system worse. It is necessary to increase the inertia of DC micro-grid so that it can recover and stabilize well when it receives a disturbance. In this paper, a small-signal model of DC micro-grid with constant power load (CPL) is established, and a flexible virtual inertial (FVI) control method based on DC bus voltage real-time variation is proposed, by controlling the DC/DC converter of the energy storage system, the problem of system oscillation caused by introducing voltage differential link to the system is solved. Compared with the droop control method, the FVI control method can increase the inertia of DC micro-grid system, reduce the influence of small disturbances, and improve the stability of the system. Finally, the validity of the FVI control method based on small signal model is verified in dSPACE.

Suggested Citation

  • Shengyang Lu & Tongwei Yu & Huiwen Liu & Wuyang Zhang & Yuqiu Sui & Junyou Yang & Li Zhang & Jiaxu Zhou & Haixin Wang, 2022. "Research on Flexible Virtual Inertia Control Method Based on the Small Signal Model of DC Microgrid," Energies, MDPI, vol. 15(22), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8360-:d:967467
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    References listed on IDEAS

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    1. Nwulu, Nnamdi I. & Xia, Xiaohua, 2017. "Optimal dispatch for a microgrid incorporating renewables and demand response," Renewable Energy, Elsevier, vol. 101(C), pages 16-28.
    2. Haupt, Leon & Schöpf, Michael & Wederhake, Lars & Weibelzahl, Martin, 2020. "The influence of electric vehicle charging strategies on the sizing of electrical energy storage systems in charging hub microgrids," Applied Energy, Elsevier, vol. 273(C).
    3. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Adzman, Mohd Rafi & Azmi, Azralmukmin & Ramli, Makbul A.M., 2019. "Optimization and sensitivity analysis of standalone hybrid energy systems for rural electrification: A case study of Iraq," Renewable Energy, Elsevier, vol. 138(C), pages 775-792.
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    Cited by:

    1. Vitor Fernão Pires & Armando Pires & Armando Cordeiro, 2023. "DC Microgrids: Benefits, Architectures, Perspectives and Challenges," Energies, MDPI, vol. 16(3), pages 1-20, January.

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