An Optimal Market Clearing Algorithm for Peer-to-Peer Energy Trading in Smart Grid

被引：0
|
作者：
Nguyen Manh Hung [1 ]
Ahn, Hyo-Sung [1 ]
机构：
[1] Gwangju Inst Sci & Technol, Sch Mech Engn, Gwangju 61005, South Korea
来源：
2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021) | 2021年
基金：
新加坡国家研究基金会;
关键词：
Energy trading; P2P; decentralized algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Energy trading problem in electricity market is one of the emerging concepts in smart grid. Peer-to-peer (P2P) trading is one of the promising approaches for designing decentralized mechanism. In P2P trading approach, each player in the network connects and exchanges power or energy directedly with a set of trading neighbours. In this work, we introduce a new optimal clearing problem for P2P energy market. Next, we present a decentralized algorithm using Alternating Direction Method of Multipliers (ADMM) to maximize the total welfare of the whole community and also reach the supply-demand balance. Lastly, a pricing mechanism will be provided to choose the appropriate prices for all trading pairs such that sellers and buyers are both satisfied.
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页码：1071 / 1075
页数：5
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