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Quantifying the value of distributed battery storage to the operation of a low carbon power system

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  • Seward, William
  • Qadrdan, Meysam
  • Jenkins, Nick

Abstract

Battery storage provides flexibility to the power system and supports the increased integration of renewable energy sources. Distributed battery storage systems that are behind the meter are operated by their local owners, whose objectives may not align with those of the national power system. This paper presents a Bilevel optimisation approach to investigate the exchange of electricity between distributed battery storage and the national power system. The independent operating objectives of the battery storage systems are explicitly considered to assess their impact on the operation of the national power system. A comparison with a Centralised optimisation approach, that assumes a single objective function for the whole system, shows that the Bilevel optimisation approach captures the independencies of distributed battery storage objectives, while accounting for its interactions with the wider power system. The results show that the Centralised optimisation approach tends to overestimate the value of distributed battery storage for the power system. The results also highlight the influence of the retail contract structure in maximising the value of distributed battery storage for the national power system.

Suggested Citation

  • Seward, William & Qadrdan, Meysam & Jenkins, Nick, 2022. "Quantifying the value of distributed battery storage to the operation of a low carbon power system," Applied Energy, Elsevier, vol. 305(C).
    • Handle: RePEc:eee:appene:v:305:y:2022:i:c:s0306261921010448
    DOI: 10.1016/j.apenergy.2021.117684
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    References listed on IDEAS

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    Cited by:

    1. Qusay Hassan & Bartosz Pawela & Ali Hasan & Marek Jaszczur, 2022. "Optimization of Large-Scale Battery Storage Capacity in Conjunction with Photovoltaic Systems for Maximum Self-Sustainability," Energies, MDPI, vol. 15(10), pages 1-21, May.
    2. Li, Peiquan & Zhao, Ziwen & Li, Jianling & Liu, Zhengguang & Liu, Yong & Mahmud, Md Apel & Sun, Yong & Chen, Diyi, 2023. "Unlocking potential contribution of seasonal pumped storage to ensure the flexibility of power systems with high proportion of renewable energy sources," Renewable Energy, Elsevier, vol. 218(C).
    3. Michas, Serafeim & Flamos, Alexandros, 2023. "Are there preferable capacity combinations of renewables and storage? Exploratory quantifications along various technology deployment pathways," Energy Policy, Elsevier, vol. 174(C).

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