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Cloud Energy Storage System Operation with Capacity P2P Transaction

Author

Listed:
  • Jungsub Sim

    (Department of Electronic Engineering, Sogang University, Baekbeom-ro 35, Mapo-gu, Seoul 04107, Korea)

  • Minsoo Kim

    (Department of Electronic Engineering, Sogang University, Baekbeom-ro 35, Mapo-gu, Seoul 04107, Korea)

  • Dongjoo Kim

    (Smart Power Distribution Lab, KEPRI, Munji-ro 105, Yooseong-gu, Daejeon 34056, Korea)

  • Hongseok Kim

    (Department of Electronic Engineering, Sogang University, Baekbeom-ro 35, Mapo-gu, Seoul 04107, Korea)

Abstract

Research on energy storage systems (ESS) is actively aiming to mitigate against the unreliability of renewable energy sources (RES), and ESS operation and management has become one of the most important research topics. Since installing ESS for each user requires high investment cost, a study on cloud ESS gains attention recently. Cloud ESS refers to an ESS that is logically shared by multiple users as if they have their own ESS in their premises. In this paper, we propose a new cloud ESS sharing technique that allows capacity P2P transactions among users. Since cloud ESS is a virtual facility that is linked to an actual ESS, it is easy for users to sell the unused storage capacity to other users or to buy additional capacity from other users during operation. We also propose a system that encourages users to completely entrust the cloud ESS operator and share the extra benefit with the operator and other users. To verify the proposed method, we demonstrate the benefit of capacity P2P transaction based on real year-round data of users.

Suggested Citation

  • Jungsub Sim & Minsoo Kim & Dongjoo Kim & Hongseok Kim, 2021. "Cloud Energy Storage System Operation with Capacity P2P Transaction," Energies, MDPI, vol. 14(2), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:339-:d:477471
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    References listed on IDEAS

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    1. Yohwan Choi & Hongseok Kim, 2016. "Optimal Scheduling of Energy Storage System for Self-Sustainable Base Station Operation Considering Battery Wear-Out Cost," Energies, MDPI, vol. 9(6), pages 1-19, June.
    2. Liu, Jingkun & Zhang, Ning & Kang, Chongqing & Kirschen, Daniel & Xia, Qing, 2017. "Cloud energy storage for residential and small commercial consumers: A business case study," Applied Energy, Elsevier, vol. 188(C), pages 226-236.
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    5. Minsoo Kim & Kangsan Kim & Hyungeun Choi & Seonjeong Lee & Hongseok Kim, 2019. "Practical Operation Strategies for Energy Storage System under Uncertainty," Energies, MDPI, vol. 12(6), pages 1-14, March.
    6. Jangkyum Kim & Yohwan Choi & Seunghyoung Ryu & Hongseok Kim, 2017. "Robust Operation of Energy Storage System with Uncertain Load Profiles," Energies, MDPI, vol. 10(4), pages 1-15, March.
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    Cited by:

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    4. Zhang, Shixu & Li, Yaowang & Du, Ershun & Fan, Chuan & Wu, Zhenlong & Yao, Yong & Liu, Lurao & Zhang, Ning, 2023. "A review and outlook on cloud energy storage: An aggregated and shared utilizing method of energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).

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