An Efficient Peer-to-Peer Energy-Sharing Framework for Numerous Community Prosumers

被引:77
|
作者
Cui, Shichang [1 ,2 ]
Wang, Yan-Wu [1 ,2 ]
Shi, Yang [3 ]
Xiao, Jiang-Wen [1 ,2 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Minist Educ, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China
[3] Univ Victoria, Dept Mech Engn, Victoria, BC V8W 3P1, Canada
基金
中国国家自然科学基金;
关键词
Real-time systems; Peer-to-peer computing; Games; Energy states; Informatics; Renewable energy sources; Optimization; Distributed optimization; energy sharing; equilibrium; peer-to-peer; prosumer; GAME; MANAGEMENT; MARKETS;
D O I
10.1109/TII.2019.2960802
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article presents an efficient peer-to-peer energy-sharing framework for numerous community prosumers to reduce energy costs and to promote renewable energy utilization. Specifically, for day-ahead and real-time energy management of prosumers, an intercommunity energy-sharing strategy and an intracommunity energy-sharing strategy are proposed, respectively. In the former strategy, prosumers can share energy with any community peers, and community aggregators represent their own prosumers to coordinate energy sharing. A two-phase model is designed. In the first phase, the optimal energy-sharing profiles of prosumers are derived to minimize the global energy costs, and in the second phase, equilibrium-based energy-sharing prices are induced considering the individual interests of prosumers. In the latter strategy, prosumers share energy only with its community peers for time saving to handle real-time uncertainties collaboratively to reduce real-time costs. The framework efficiency is verified by the simulation cases on a typical distribution network.
引用
收藏
页码:7402 / 7412
页数:11
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