A Behavior-Based and Fast Convergence Energy Sharing Mechanism for Prosumers Community

被引:3
作者
Wu, Yufeng [1 ,2 ]
Yu, Tao [1 ,2 ]
Pan, Zhenning [1 ,2 ]
机构
[1] South China Univ Technol, Sch Elect Engn, Guangzhou 510640, Peoples R China
[2] Guangdong Prov Key Lab Intelligent Measurement & A, Guangzhou 510640, Peoples R China
基金
中国国家自然科学基金;
关键词
Privacy; Convergence; Behavioral sciences; Linear matrix inequalities; Games; Costs; Stability analysis; Prosumers; community market; energy sharing; optimal behavior description; distributed algorithm; PEER-TO-PEER; OPTIMIZATION; FLEXIBILITY; ECONOMY; STORAGE;
D O I
10.1109/TSG.2023.3349318
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
Community energy sharing is an important way to encourage prosumers energy exchanges and exploit distributed resource flexibility. Previous researches suffer from low generalization, privacy leaking, heavy communication and computational burden. In this paper, a behavior-based and fast convergence energy sharing mechanism based on prosumers' response information is proposed to fill these gaps. Specifically, a continuous description of prosumers' behavior (CDPB) is applied to characterize their optimal response in a small price range. And the distributed algorithm based on response constraints (DBRC) is applied to achieve energy sharing with convergence and optimality, where only price and CDPB information are exchanged. Then, DBRC with accelerated convergence (DBRC-A) is proposed to reduce the time complexity and realize fast convergence. The efficiency, scalability, practicality of DBRC-based energy sharing mechanism are verified by numerical simulations on communities with different prosumers.
引用
收藏
页码:4023 / 4037
页数:15
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