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基于区块链的共享储能联合调频分散交易机制设计
引用本文:裴佑,裴哲义,邱伟强,杨莉,董凌,王莲芳,林振智. 基于区块链的共享储能联合调频分散交易机制设计[J]. 电力自动化设备, 2021, 41(10): 138-145. DOI: 10.16081/j.epae.202110018
作者姓名:裴佑  裴哲义  邱伟强  杨莉  董凌  王莲芳  林振智
作者单位:浙江大学电气工程学院,浙江杭州310027;国家电力调度控制中心,北京100031;青海绿能数据有限公司,青海西宁810008;清华大学电机工程与应用电子系,北京100084;国网青海省电力公司,青海西宁810008
基金项目:国家电网公司科技项目(5419-202034054A-0-0-00)
摘    要:充分利用现有调频资源提高电力系统弹性是扩展系统可再生能源消纳能力的有效途径之一.提出分布式储能以共享储能形式与火电联合调频的商业模式,基于此设计一种计及分布式储能和火电机组偏好的联合调频分散交易机制.结合分散交易机制去中心化的特点,构建包含共识机制、智能合约的联盟链架构,并提出考虑交易主体隐私的交易信息分类管理方法.算例结果验证了所提分散交易机制实现资源优化配置的有效性,且多次市场模拟后的交易量和总社会效益稳定,与未考虑交易主体偏好的集中交易模式相近.

关 键 词:区块链  分散交易机制  火储联合调频  共享储能  交易主体偏好

Design of decentralized trading mechanism for shared energy storage joint frequency regulation based on blockchain
PEI You,PEI Zheyi,QIU Weiqiang,YANG Li,DONG Ling,WANG Lianfang,LIN Zhenzhi. Design of decentralized trading mechanism for shared energy storage joint frequency regulation based on blockchain[J]. Electric Power Automation Equipment, 2021, 41(10): 138-145. DOI: 10.16081/j.epae.202110018
Authors:PEI You  PEI Zheyi  QIU Weiqiang  YANG Li  DONG Ling  WANG Lianfang  LIN Zhenzhi
Affiliation:College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;State Grid Dispatching Control Center, Beijing 100031, China;Qinghai Lvneng Data Co.,Ltd.,Xining 810008, China; Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;State Grid Qinghai Electric Power Company, Xining 810008, China
Abstract:Making full use of existing frequency regulation resource to improve the flexibility of power system is one of the effective ways to expand the renewable energy consumption capacity of system. A commercial mode of joint frequency regulation with distributed energy storage in the form of shared energy storage and thermal power is proposed, on this basis, a decentralized trading mechanism of joint frequency regulation considering the preference of distributed energy storage and thermal power units is designed. Combining with the decentralized characteristic of decentralized trading mechanism, a coalition chain structure including consensus mechanism and smart contract is constructed, and a classification management method of trading information considering the privacy of trading subjects is proposed. Case results verify the effectiveness of the proposed decentralized trading mechanism in realizing the optimal allocation of resource, and the trading volume and total social benefit are stable after multiple market simulations, which is similar to the centralized trading mode without considering the preference of trading subjects.
Keywords:blockchain   decentralized trading mechanism   thermal-storage joint frequency regulation   shared energy storage   preference of trading subjects
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