Transactive Energy Based Aggregation of Prosumers as a Retailer

被引:54
作者
Xiao, Yunpeng [1 ,2 ]
Wang, Xifan [3 ]
Pinson, Pierre [4 ]
Wang, Xiuli [3 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China
[2] Guangdong Power Grid Corp, Power Dispatching & Control Ctr, Guangzhou 510600, Peoples R China
[3] Xi An Jiao Tong Univ, Sch Elect Engn, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China
[4] Tech Univ Denmark, Dept Elect Engn, DK-2800 Lyngby, Denmark
关键词
Electricity market; inner-outer iteration approach; prosumer; retailer; transactive energy; ELECTRIC VEHICLES; BIDDING STRATEGY; DEMAND RESPONSE; MARKETS; STORAGE; PROCUREMENT; POWER;
D O I
10.1109/TSG.2020.2976130
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The rapid growth of distributed energy resources results in the proliferation of prosumers at the distribution level, who can both produce and consume energy. In order to harvest benefits of aggregation to obtain revenues in wholesale market and encourage direct interactions among prosumers and other flexible players at the same time, this paper proposes an aggregation framework for prosumers based on transactive energy, in which prosumers aggregate and trade in an independent, proactive and privacy-preserved manner without relying on a real central entity, while other flexible players could be benefited equally. The aggregation of prosumers as a whole behaves as a retailer that trades in wholesale market and towards end-users in retail market. Therefore, the problem is generalized as a bi-level multi-leader multi-follower game in which prosumers are leaders and end-users are followers. To realize the transactive energy based trading framework, an inner-outer iteration approach is proposed, where the outer iteration involves interactions among prosumers and end-users, and achieves final results including the retail price and optimal behaviors of all players. The inner iteration is conducted during each time of the outer iteration to solve end-users' optimal consuming profiles. The whole iteration process involves the independent decision makings of players, and only relies on exchange of information of retail price and prosumers' offers instead of players' private information. Case studies are then carried out demonstrating the proposed transactive energy based aggregation framework for prosumers could decrease the retail price, increase revenues for both prosumers and end-users, and reduce the peak load.
引用
收藏
页码:3302 / 3312
页数:11
相关论文
共 35 条
[31]  
Tian Z, 2018, 2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2)
[32]   Optimal Planning Strategy for Distributed Energy Resources Considering Structural Transmission Cost Allocation [J].
Wang, Jianxiao ;
Zhong, Haiwang ;
Xia, Qing ;
Kang, Chongqing .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (05) :5236-5248
[33]   A Local Energy Market for Electricity and Hydrogen [J].
Xiao, Yunpeng ;
Wang, Xifan ;
Pinson, Pierre ;
Wang, Xiuli .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (04) :3898-3908
[34]   Real-Time Trading Strategies of Proactive DISCO With Heterogeneous DG Owners [J].
Zhang, Chunyu ;
Wang, Qi ;
Wang, Jianhui ;
Pinson, Pierre ;
Ostergaard, Jacob .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (03) :1688-1697
[35]   Real-Time Procurement Strategies of a Proactive Distribution Company With Aggregator-Based Demand Response [J].
Zhang, Chunyu ;
Wang, Qi ;
Wang, Jianhui ;
Pinson, Pierre ;
Morales, Juan M. ;
Ostergaard, Jacob .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (02) :766-776