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.