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1. 智能电网教育部重点实验室(天津大学),天津市 300072
2. 天津大学储能科学与工程研究院,天津市 300354
3. 国网福建省电力有限公司信息通信分公司,福建省 福州市 350013
4. 上海交通大学电子信息与电气工程学院,上海市 200240
Received:10 December 2024,
Revised:2025-03-27,
Published Online:27 June 2025,
Published:25 August 2025
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贾宏杰,唐万鑫,靳小龙等.基于区块链智能合约的分布式储能系统共享运营策略[J].电力系统自动化,2025,49(16):142-152.
JIA Hongjie,TANG Wanxin,JIN Xiaolong,et al.Shared Operation Strategies for Distributed Energy Storage Systems Based on Blockchain Smart Contracts[J].Automation of Electric Power Systems,2025,49(16):142-152.
贾宏杰,唐万鑫,靳小龙等.基于区块链智能合约的分布式储能系统共享运营策略[J].电力系统自动化,2025,49(16):142-152. DOI: 10.7500/AEPS20241210001.
JIA Hongjie,TANG Wanxin,JIN Xiaolong,et al.Shared Operation Strategies for Distributed Energy Storage Systems Based on Blockchain Smart Contracts[J].Automation of Electric Power Systems,2025,49(16):142-152. DOI: 10.7500/AEPS20241210001.
随着分布式能源在配电网中的渗透率不断增大,创新的商业模式也随之涌现,如共享电池储能系统。共享储能系统通常由储能用户、能源服务公司、聚合商或储能运营商等多方利益相关者共同投资。这些相关者的利益冲突给共享储能系统的运营和控制带来巨大挑战。文中提出了一种基于区块链智能合约的去中心化分布式管理框架,利用智能合约技术自动化控制、优化共享储能系统的运营策略。通过建立基于数据处理、决策支持和决策制定等的多层自动化管理框架,并采用智能合约规则集,如最高综合报价和偏好排序选择,调和各方经济利益冲突,实现共享储能系统的最优共享运营。通过对家庭和储能运营商共享电池储能的案例分析,验证了智能合约自动化管理模式的有效性,展示了其在提高能源效率和优化利益相关者经济收益方面的优势。
With the increasing penetration of distributed energy resources (DERs) in the distribution network
innovative business modes such as the shared battery energy storage system (BESS) are emerging. The shared energy storage systems are typically co-invested by multiple stakeholders
including energy storage users
energy service companies
aggregators or energy storage operators. The conflicting interests of these stakeholders pose significant challenges to the operation and control of the shared energy storage systems. This paper proposes a decentralized distributed management framework based on blockchain smart contracts
utilizing smart contract technology to realize automatic control and optimize the operation strategies of shared energy storage systems. By establishing a multi-layer automated management framework based on data processing
decision support
and decision-making
and adopting smart contract rule sets such as highest combined offer (HCO) and ranked preference selection (RPS)
the stakeholder conflicts are harmonized to achieve optimal shared operation for shared energy storage systems. Through the case analysis on shared battery energy storage of households and energy storage operators
the effectiveness of the automated management mode for smart contracts is validated
and its advantages in enhancing energy efficiency and improving stakeholder satisfaction are demonstrated.
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