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Optimal grid-forming BESS management incorporating internal battery physics

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  • Chen, Yuanbo
  • Zheng, Kedi
  • Feng, Cheng
  • Huang, Junling
  • Guo, Hongye
  • Zhong, Haiwang

Abstract

Providing the grid-forming service (GFS) via the battery energy storage system (BESS) is essential for the increasing integration of renewable energy in modern grids. However, rapid interactions between GFS responses and battery physics pose a significant challenge in managing grid-forming BESS operations. This paper explores the grid-forming BESS management considering internal battery physics. We first develop a physics-based model that captures the authentic available power and aging dynamics of BESS during GFS provision. Based on the physics-based model, we propose a two-stage stochastic optimization problem to determine the GFS coefficients and schedule the BESS power during the day-ahead period considering uncertain grid frequency. A real-time power regulation method is further designed to implement the scheduling results, considering the practicality of both internal battery physics and external grid frequency. Case studies reveal that the proposed management can support optimal grid-forming BESS operations effectively, achieving high GFS performance and BESS profitability adaptively under various grid-side conditions and BESS statuses.

Suggested Citation

  • Chen, Yuanbo & Zheng, Kedi & Feng, Cheng & Huang, Junling & Guo, Hongye & Zhong, Haiwang, 2025. "Optimal grid-forming BESS management incorporating internal battery physics," Applied Energy, Elsevier, vol. 385(C).
    • Handle: RePEc:eee:appene:v:385:y:2025:i:c:s0306261925001783
    DOI: 10.1016/j.apenergy.2025.125448
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    References listed on IDEAS

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    1. Arraño-Vargas, Felipe & Jiang, Shan & Bennett, Bruce & Konstantinou, Georgios, 2023. "Mitigation of power system oscillations in weak grids with battery energy storage systems: A real-world case study," Energy, Elsevier, vol. 283(C).
    2. Oshnoei, Soroush & Aghamohammadi, Mohammad Reza & Oshnoei, Siavash & Sahoo, Subham & Fathollahi, Arman & Khooban, Mohammad Hasan, 2023. "A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control," Applied Energy, Elsevier, vol. 343(C).
    3. Su, Yu & Li, Dingrui & Wang, Fred & Olama, Mohammed & Ferrari, Maximiliano & Ollis, Ben & Liu, Yilu, 2024. "Flexible dynamic boundary microgrid operation considering network and load unbalances," Applied Energy, Elsevier, vol. 371(C).
    4. Zhao, Chunyang & Andersen, Peter Bach & Træholt, Chresten & Hashemi, Seyedmostafa, 2023. "Grid-connected battery energy storage system: a review on application and integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    5. Gu, Yuxuan & Wang, Jianxiao & Chen, Yuanbo & Xiao, Wei & Deng, Zhongwei & Chen, Qixin, 2023. "A simplified electro-chemical lithium-ion battery model applicable for in situ monitoring and online control," Energy, Elsevier, vol. 264(C).
    6. Zhang, Jiawei & Wang, Jiaxin & Zhang, Ning & Wang, Peng & Wang, Yating & Fang, Chen, 2024. "Droop coefficient placements for grid-side energy storage considering nodal frequency constraints under large disturbances," Applied Energy, Elsevier, vol. 357(C).
    7. Li, Zhihao & Yang, Lun & Xu, Yinliang, 2023. "A dynamics-constrained method for distributed frequency regulation in low-inertia power systems," Applied Energy, Elsevier, vol. 344(C).
    8. Lee, Rachel & Homan, Samuel & Mac Dowell, Niall & Brown, Solomon, 2019. "A closed-loop analysis of grid scale battery systems providing frequency response and reserve services in a variable inertia grid," Applied Energy, Elsevier, vol. 236(C), pages 961-972.
    9. Engels, Jonas & Claessens, Bert & Deconinck, Geert, 2019. "Techno-economic analysis and optimal control of battery storage for frequency control services, applied to the German market," Applied Energy, Elsevier, vol. 242(C), pages 1036-1049.
    10. Amirhossein Sajadi & Rick Wallace Kenyon & Bri-Mathias Hodge, 2022. "Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
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