{"title":"Research on the Implementation Architecture and Demand Response Controlling Strategy for Adjustable Load","authors":"Xie Zhihan, Chen Tieyi, Xue Li, Liu Kai, Chen Songsong, Yuan Jindou","doi":"10.1109/ICCS51219.2020.9336595","DOIUrl":null,"url":null,"abstract":"When residents participate in demand response, the randomness of residents' electricity consumption behavior can not be ignored in formulating demand response strategy. In this paper, according to the randomness of residential electricity consumption, the demand response control strategy for residential flexible load in China's new urban area is studied by making full use of the detailed residential electricity data available from the power grid. The daily demand response optimization dispatching model for residential flexible load equipment is established for load aggregator. Then the optimal scheduling model is solved.","PeriodicalId":193552,"journal":{"name":"2020 IEEE 2nd International Conference on Circuits and Systems (ICCS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd International Conference on Circuits and Systems (ICCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS51219.2020.9336595","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
When residents participate in demand response, the randomness of residents' electricity consumption behavior can not be ignored in formulating demand response strategy. In this paper, according to the randomness of residential electricity consumption, the demand response control strategy for residential flexible load in China's new urban area is studied by making full use of the detailed residential electricity data available from the power grid. The daily demand response optimization dispatching model for residential flexible load equipment is established for load aggregator. Then the optimal scheduling model is solved.
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