Optimal distribution in smart grids with volatile renewable sources using a message passing algorithm

Elizabeth Harrison, D. Saad, K. Y. Wong
{"title":"Optimal distribution in smart grids with volatile renewable sources using a message passing algorithm","authors":"Elizabeth Harrison, D. Saad, K. Y. Wong","doi":"10.12720/SGCE.5.4.221-228","DOIUrl":null,"url":null,"abstract":"The design of future electricity grids will allow for renewable energy generators to be effectively incorporated into the network. Current methods of economic dispatch were not designed to accommodate the level of volatility and uncertain nature of sources such as wind and solar; here we demonstrate how an optimisation algorithm called message passing, which is based on principled statistical physics methodologies and is inherently probabilistic, could be an alternative way of considering source volatility efficiently and reliably. The algorithm iteratively passes probabilistic messages in order to find an approximate global optimal solution with moderate computational complexity and inherently consider source volatility. We demonstrate the capabilities of message passing as a distribution algorithm in the presence of uncertainty on synthetic benchmark IEEE networks and show how the volatility increase effects distribution costs","PeriodicalId":247617,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Smart Grid and Clean Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12720/SGCE.5.4.221-228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The design of future electricity grids will allow for renewable energy generators to be effectively incorporated into the network. Current methods of economic dispatch were not designed to accommodate the level of volatility and uncertain nature of sources such as wind and solar; here we demonstrate how an optimisation algorithm called message passing, which is based on principled statistical physics methodologies and is inherently probabilistic, could be an alternative way of considering source volatility efficiently and reliably. The algorithm iteratively passes probabilistic messages in order to find an approximate global optimal solution with moderate computational complexity and inherently consider source volatility. We demonstrate the capabilities of message passing as a distribution algorithm in the presence of uncertainty on synthetic benchmark IEEE networks and show how the volatility increase effects distribution costs
基于消息传递算法的易变可再生能源智能电网优化分配
未来电网的设计将允许可再生能源发电机有效地并入电网。目前的经济调度方法没有考虑到风能和太阳能等能源的波动性和不确定性;在这里,我们演示了一种称为消息传递的优化算法,它基于原则的统计物理方法,并且具有固有的概率性,可以成为有效和可靠地考虑源波动性的替代方法。该算法迭代传递概率消息,以寻找计算复杂度适中的近似全局最优解,并固有地考虑了源的波动性。我们展示了在综合基准IEEE网络存在不确定性的情况下,消息传递作为一种分布算法的能力,并展示了波动性增加如何影响分布成本
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:604180095
Book学术官方微信