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Contribution of Voltage Support Function to Virtual Inertia Control Performance of Inverter-Based Resource in Frequency Stability

Author

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  • Dai Orihara

    (Renewable Energy Research Center, National Institute of Advanced Industrial Science and Technology, 2-2-9, Machiikedai, Fukushima 963-0298, Japan)

  • Hiroshi Kikusato

    (Renewable Energy Research Center, National Institute of Advanced Industrial Science and Technology, 2-2-9, Machiikedai, Fukushima 963-0298, Japan)

  • Jun Hashimoto

    (Renewable Energy Research Center, National Institute of Advanced Industrial Science and Technology, 2-2-9, Machiikedai, Fukushima 963-0298, Japan)

  • Kenji Otani

    (Renewable Energy Research Center, National Institute of Advanced Industrial Science and Technology, 2-2-9, Machiikedai, Fukushima 963-0298, Japan)

  • Takahiro Takamatsu

    (Renewable Energy Research Center, National Institute of Advanced Industrial Science and Technology, 2-2-9, Machiikedai, Fukushima 963-0298, Japan)

  • Takashi Oozeki

    (Renewable Energy Research Center, National Institute of Advanced Industrial Science and Technology, 2-2-9, Machiikedai, Fukushima 963-0298, Japan)

  • Hisao Taoka

    (Renewable Energy Research Center, National Institute of Advanced Industrial Science and Technology, 2-2-9, Machiikedai, Fukushima 963-0298, Japan)

  • Takahiro Matsuura

    (TEPCO Research Institute, Tokyo Electric Power Company Holdings, 4-1, Egasaki-cho, Tsurumi-ku, Yokohama 230-0002, Japan)

  • Satoshi Miyazaki

    (TEPCO Research Institute, Tokyo Electric Power Company Holdings, 4-1, Egasaki-cho, Tsurumi-ku, Yokohama 230-0002, Japan)

  • Hiromu Hamada

    (TEPCO Research Institute, Tokyo Electric Power Company Holdings, 4-1, Egasaki-cho, Tsurumi-ku, Yokohama 230-0002, Japan)

  • Kenjiro Mori

    (TEPCO Research Institute, Tokyo Electric Power Company Holdings, 4-1, Egasaki-cho, Tsurumi-ku, Yokohama 230-0002, Japan)

Abstract

Inertia reduction due to inverter-based resource (IBR) penetration deteriorates power system stability, which can be addressed using virtual inertia (VI) control. There are two types of implementation methods for VI control: grid-following (GFL) and grid-forming (GFM). There is an apparent difference among them for the voltage regulation capability, because the GFM controls IBR to act as a voltage source and GFL controls it to act as a current source. The difference affects the performance of the VI control function, because stable voltage conditions help the inertial response to contribute to system stability. However, GFL can provide the voltage control function with reactive power controllability, and it can be activated simultaneously with the VI control function. This study analyzes the performance of GFL-type VI control with a voltage control function for frequency stability improvement. The results show that the voltage control function decreases the voltage variation caused by the fault, improving the responsivity of the VI function. In addition, it is found that the voltage control is effective in suppressing the power swing among synchronous generators. The clarification of the contribution of the voltage control function to the performance of the VI control is novelty of this paper.

Suggested Citation

  • Dai Orihara & Hiroshi Kikusato & Jun Hashimoto & Kenji Otani & Takahiro Takamatsu & Takashi Oozeki & Hisao Taoka & Takahiro Matsuura & Satoshi Miyazaki & Hiromu Hamada & Kenjiro Mori, 2021. "Contribution of Voltage Support Function to Virtual Inertia Control Performance of Inverter-Based Resource in Frequency Stability," Energies, MDPI, vol. 14(14), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4220-:d:593325
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    References listed on IDEAS

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    1. Yin Sun & E. C. W. (Erik) de Jong & Xiongfei Wang & Dongsheng Yang & Frede Blaabjerg & Vladimir Cuk & J. F. G. (Sjef) Cobben, 2019. "The Impact of PLL Dynamics on the Low Inertia Power Grid: A Case Study of Bonaire Island Power System," Energies, MDPI, vol. 12(7), pages 1-16, April.
    2. Yuko Hirase & Kazusa Uezaki & Dai Orihara & Hiroshi Kikusato & Jun Hashimoto, 2021. "Characteristic Analysis and Indexing of Multimachine Transient Stabilization Using Virtual Synchronous Generator Control," Energies, MDPI, vol. 14(2), pages 1-23, January.
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    Cited by:

    1. Asmaa Faragalla & Omar Abdel-Rahim & Mohamed Orabi & Esam H. Abdelhameed, 2022. "Enhanced Virtual Inertia Control for Microgrids with High-Penetration Renewables Based on Whale Optimization," Energies, MDPI, vol. 15(23), pages 1-18, December.
    2. 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.
    3. Gustavo Adolfo Gómez-Ramírez & Carlos Meza & Gonzalo Mora-Jiménez & José Rodrigo Rojas Morales & Luis García-Santander, 2023. "The Central American Power System: Achievements, Challenges, and Opportunities for a Green Transition," Energies, MDPI, vol. 16(11), pages 1-20, May.
    4. Masilu Marupi & Munira Batool & Morteza Alizadeh & Noor Zanib, 2023. "Transient Stability Improvement of Large-Scale Photovoltaic Grid Using a Flywheel as a Synchronous Machine," Energies, MDPI, vol. 16(2), pages 1-18, January.
    5. Dai Orihara & Hisao Taoka & Kenji Otani, 2024. "Influence of Wind-Turbine-Generator Power Control on the Performance of a Virtual Synchronous Machine," Energies, MDPI, vol. 17(1), pages 1-18, January.
    6. Reza Saeed Kandezy & John Jiang & Di Wu, 2024. "On SINDy Approach to Measure-Based Detection of Nonlinear Energy Flows in Power Grids with High Penetration Inverter-Based Renewables," Energies, MDPI, vol. 17(3), pages 1-18, February.

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