N. Arghira, Iulia Stamatescu, I. Fagarasan, G. Stamatescu, V. Calofir, S. S. Iliescu
{"title":"Demand dispatch framework for smart distribution grids","authors":"N. Arghira, Iulia Stamatescu, I. Fagarasan, G. Stamatescu, V. Calofir, S. S. Iliescu","doi":"10.1109/ICIEA.2017.8282812","DOIUrl":null,"url":null,"abstract":"The paper presents the new concept of demand dispatch at the distribution level, in addition to generation dispatch. It benefits of new communication capabilities and computation knowledge to support the introduction of strategies that modify the demand according to relevant objectives. The properties of demand dispatch are clearly defined, as well as the characteristics of smart distribution networks. A critical analysis on demand response/dispatch strategies was conducted. Consumer energy modelling for dispatchable loads with artificial intelligence methods (e.g. C4.5 decision tree) is presented. This is a prerequisite for load shaping forecast at a general scale, for the distribution level. The proposed demand dispatch framework brings benefits for distribution system operators in terms of supply flexibility and economic advantages.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2017.8282812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The paper presents the new concept of demand dispatch at the distribution level, in addition to generation dispatch. It benefits of new communication capabilities and computation knowledge to support the introduction of strategies that modify the demand according to relevant objectives. The properties of demand dispatch are clearly defined, as well as the characteristics of smart distribution networks. A critical analysis on demand response/dispatch strategies was conducted. Consumer energy modelling for dispatchable loads with artificial intelligence methods (e.g. C4.5 decision tree) is presented. This is a prerequisite for load shaping forecast at a general scale, for the distribution level. The proposed demand dispatch framework brings benefits for distribution system operators in terms of supply flexibility and economic advantages.