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Blockchain-Enabled Market Clearing Mechanism for Peer-to-Peer Energy Storage Sharing

  • Zhen Ren
  • , Haihan Duan*
  • , Hengming Dai
  • , Xiaoyi Fan
  • , Cong Zhang
  • , Xiping Hu
  • *此作品的通讯作者
  • Shenzhen MSU-BIT University
  • Yunnan University
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper first classifies blockchain-based shared energy storage studies into three deployment modes, namely community sharing, cloud sharing, and peer-to-peer (P2P) sharing, and summarizes how blockchain reshapes market mechanisms and data governance in these settings. Building on these insights, we develop a blockchain-enabled P2P market framework that tokenizes time-sliced capacity rights and clears a uniform capacity price through a sealed-bid commit-reveal process. The proposed framework establishes a privacy-preserving market microstructure where sellers and buyers submit piecewise capacity bids across delivery windows, and smart contracts execute commitment verification, convex welfare-based capacity clearing, and auditable settlement. The clearing problem is formulated as a convex social-welfare optimization and reduced to a onedimensional dual problem, yielding closed-form expressions for the uniform price and primal allocations. Furthermore, the framework specifies deposit rules and capacity-right tokenization to ensure verifiable settlement. Future research directions include degradation-aware pricing, real-time capacity verification, and streaming settlement aligned with realized energy delivery.

源语言英语
主期刊名Proceedings - 2025 IEEE International Conference on Big Data, BigData 2025
编辑Cheng-Zhong Xu, Leong Hou U, Xueqi Cheng, Jing Gao, Giuseppe Polese, Hong Mei, Paul Boniol, Michiaki Tatsubori, Chen Zhao, Dawei Zhou, Xiaohua Hu
出版商Institute of Electrical and Electronics Engineers Inc.
6288-6297
页数10
版本2025
ISBN(电子版)9798331594473
DOI
出版状态已出版 - 2025
已对外发布
活动2025 IEEE International Conference on Big Data, BigData 2025 - Macau, 中国
期限: 8 12月 202511 12月 2025

会议

会议2025 IEEE International Conference on Big Data, BigData 2025
国家/地区中国
Macau
时期8/12/2511/12/25

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