Jun Liu, Ying-xin Xie, Yin Liu, Fengyu Wang, Mao-mao Wu
{"title":"Regional energy management system considering demand response","authors":"Jun Liu, Ying-xin Xie, Yin Liu, Fengyu Wang, Mao-mao Wu","doi":"10.1109/CCDC.2014.6853092","DOIUrl":null,"url":null,"abstract":"In order to support the development of the smart grid and the demand side management, this paper designs and implements a regional energy management system (R-EMS) considering demand response (DR). The R-EMS can realize the information linkage between the regional energy management and single-point energy management. Firstly, the design requirements and architecture of the system are proposed. And then three core functions and the realization method are described. Finally, a summary about the whole work is made. The system proposed supports multi-dimensional analysis and knowledge mining about mass electricity data, and has excellent features of standard access, information sharing and high reliability which will play an important role in the development of smart grid.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 26th Chinese Control and Decision Conference (2014 CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2014.6853092","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 order to support the development of the smart grid and the demand side management, this paper designs and implements a regional energy management system (R-EMS) considering demand response (DR). The R-EMS can realize the information linkage between the regional energy management and single-point energy management. Firstly, the design requirements and architecture of the system are proposed. And then three core functions and the realization method are described. Finally, a summary about the whole work is made. The system proposed supports multi-dimensional analysis and knowledge mining about mass electricity data, and has excellent features of standard access, information sharing and high reliability which will play an important role in the development of smart grid.
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