A peer-to-peer energy trading market embedded with residential shared energy storage units

被引:75
|
作者
Zheng, Boshen [1 ]
Wei, Wei [1 ]
Chen, Yue [2 ]
Wu, Qiuwei [3 ]
Mei, Shengwei [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst & Generat Equipment, Beijing 100084, Peoples R China
[2] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Hong Kong, Peoples R China
[3] Tech Univ Denmark, Ctr Elect Power & Energy, Lyngby, Denmark
基金
中国国家自然科学基金;
关键词
Peer-to-peer energy trading; Shared energy storage; Market mechanism; Equilibrium problem; Game theory; Transactive energy; FEED-IN TARIFF; MECHANISMS; DESIGNS; SYSTEM; MODEL;
D O I
10.1016/j.apenergy.2021.118400
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The high penetration of distributed energy resources with local renewable energy consumption facilitates the emergence of peer-to-peer (P2P) energy trading, where a peer can share excessive energy with local peers. P2P energy trading is expected to be a promising business model in the future transactive energy market. Influenced by the sharing economy principle, shared energy storage(SES) is investigated to reduce the costly initial in-vestment and improve the utilization rate of storage devices. Given the context, this paper proposes an equi-librium model of a P2P energy trading market, considering the deployment of shared energy storage in the residential consumer-side. The market equilibrium problem consists of two interwoven games. Considering the benefit conflicts between energy sellers and buyers in P2P energy trading, the P2P transaction between peers can be described as a non-cooperative game. Considering the limited SES capacity resources, the competition among SES users can be viewed as a generalized Nash equilibrium problem. These two games in the P2P market interact with each other and can be summarized as a holistic equilibrium problem, in which the P2P transaction price is endogenously determined and storage capacity is allocated. The market equilibrium problem can be solved based on Karush-Kuhn-Tucker (KKT) optimality conditions and linearization techniques, finally cast as a mixed-integer linear program. Numerical simulation demonstrates that P2P energy trading benefits all participants and the introduction of shared energy storage can further reduce energy costs.
引用
收藏
页数:13
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