Cost Minimization Energy Storage Sharing Management

Hailing Zhu, K. Ouahada
{"title":"Cost Minimization Energy Storage Sharing Management","authors":"Hailing Zhu, K. Ouahada","doi":"10.1109/SmartGridComm.2019.8909720","DOIUrl":null,"url":null,"abstract":"In this paper, energy storage sharing among a group of households with integrated renewable generations in a grid-connected microgrid is studied. In such a microgrid, a shared energy storage management (SESM) system is operated by an aggregator aiming to minimize the long term time-averaged costs of all households, by jointly taking into account the operational constraints of the shared energy storage, the stochastic solar power generations and the time-varying load requests from all households, as well as the fluctuating electricity prices. We formulate this energy management problem, which comprises storage management and load control, as a constrained stochastic programming problem. A centralized real-time sharing control algorithm is designed based on the Lyapunov optimization theory. The performance of the proposed real-time sharing control algorithm is evaluated. By comparing with a greedy sharing algorithm, it is shown that the proposed sharing algorithm outperforms in terms of both cost saving and renewable energy generation utilization.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartGridComm.2019.8909720","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In this paper, energy storage sharing among a group of households with integrated renewable generations in a grid-connected microgrid is studied. In such a microgrid, a shared energy storage management (SESM) system is operated by an aggregator aiming to minimize the long term time-averaged costs of all households, by jointly taking into account the operational constraints of the shared energy storage, the stochastic solar power generations and the time-varying load requests from all households, as well as the fluctuating electricity prices. We formulate this energy management problem, which comprises storage management and load control, as a constrained stochastic programming problem. A centralized real-time sharing control algorithm is designed based on the Lyapunov optimization theory. The performance of the proposed real-time sharing control algorithm is evaluated. By comparing with a greedy sharing algorithm, it is shown that the proposed sharing algorithm outperforms in terms of both cost saving and renewable energy generation utilization.
成本最小化储能共享管理
本文研究了并网微电网中具有集成可再生能源发电机组的一组家庭之间的储能共享问题。在这种微电网中,共享储能管理(SESM)系统由一个聚合器运行,通过共同考虑共享储能的运行约束、随机太阳能发电和所有家庭的时变负荷需求以及波动的电价,以最小化所有家庭的长期平均成本。我们将这一能源管理问题表述为一个约束随机规划问题,其中包括存储管理和负荷控制。基于李亚普诺夫优化理论,设计了一种集中式实时共享控制算法。对所提出的实时共享控制算法的性能进行了评价。通过与贪婪共享算法的比较,表明所提出的共享算法在节约成本和可再生能源发电利用率方面都优于贪婪共享算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信