Demand Response program for Supercomputing and Datacenters providing Ancillary Services in the Electricity Market

S. M. de Oca, J. Muraña, P. Monzón, Sergio Nesmachnow, S. Iturriaga, G. Belcredi
{"title":"Demand Response program for Supercomputing and Datacenters providing Ancillary Services in the Electricity Market","authors":"S. M. de Oca, J. Muraña, P. Monzón, Sergio Nesmachnow, S. Iturriaga, G. Belcredi","doi":"10.1109/TDLA47668.2020.9326182","DOIUrl":null,"url":null,"abstract":"In this article, we studied a negotiation approach for the participation of datacenters and super-computing facilities in smart electricity markets providing ancillary services, an important problem in modern smart grid systems. Different demand response strategy were studied for colocation datacenters to commit power reductions during a sustained period, according to offers proposed to tenants. The negotiation algorithm and a heuristic planning method for energy reduction optimization were experimentally validated over realistic problem instances that model different problem dimensions and flexibility of the datacenter clients. The obtained results indicate that the proposed approach is effective to provide appropriate frequency reserves control according to monetary incentives.","PeriodicalId":448644,"journal":{"name":"2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDLA47668.2020.9326182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this article, we studied a negotiation approach for the participation of datacenters and super-computing facilities in smart electricity markets providing ancillary services, an important problem in modern smart grid systems. Different demand response strategy were studied for colocation datacenters to commit power reductions during a sustained period, according to offers proposed to tenants. The negotiation algorithm and a heuristic planning method for energy reduction optimization were experimentally validated over realistic problem instances that model different problem dimensions and flexibility of the datacenter clients. The obtained results indicate that the proposed approach is effective to provide appropriate frequency reserves control according to monetary incentives.
电力市场中提供辅助服务的超级计算和数据中心的需求响应计划
本文研究了提供辅助服务的数据中心和超级计算设施参与智能电力市场的协商方法,这是现代智能电网系统中的一个重要问题。根据向租户提出的建议,研究了托管数据中心在持续一段时间内减少电力的不同需求响应策略。针对不同问题维度和数据中心客户端灵活性的实际问题实例,对协商算法和启发式节能优化规划方法进行了实验验证。结果表明,该方法能够有效地根据货币激励提供适当的频率储备控制。
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