Kunqi Jia, G. He, S. Fan, Guoying Lin, Shixiang Lu, Feng Pan
{"title":"Cyber and physical integration analysis for automated residential demand response in smart grid","authors":"Kunqi Jia, G. He, S. Fan, Guoying Lin, Shixiang Lu, Feng Pan","doi":"10.1109/APPEEC.2017.8308938","DOIUrl":null,"url":null,"abstract":"Compared with traditional analyses of automated demand response(ADR) which focus on optimal control strategies of physical system, this paper puts more emphasis on the interdependence and interplay of cyber and physical system in automated residential demand response. A heating project of a school and its control strategy are introduced as a typical scene of automated residential demand response. In order to establish a near real model of the heating project, communication reliability is taken into consideration and the network connectedness is modeled based on graph theory. The wireless channel model considering obstacles is established based on the Motley-Keenan Model and the correlation between receive signal strength index(RSSI) and packet receive rate(PRR) is derived according to experimental data. Then, the impact of the packet loss on the performance of the heating project is presented. To provide a reliable wireless communication network to support the heating project, this paper then proposed a greedy strategy based optimization algorithm of relay node deployment and the simulation results verify that the above algorithm can promote the overall system efficiency.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APPEEC.2017.8308938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Compared with traditional analyses of automated demand response(ADR) which focus on optimal control strategies of physical system, this paper puts more emphasis on the interdependence and interplay of cyber and physical system in automated residential demand response. A heating project of a school and its control strategy are introduced as a typical scene of automated residential demand response. In order to establish a near real model of the heating project, communication reliability is taken into consideration and the network connectedness is modeled based on graph theory. The wireless channel model considering obstacles is established based on the Motley-Keenan Model and the correlation between receive signal strength index(RSSI) and packet receive rate(PRR) is derived according to experimental data. Then, the impact of the packet loss on the performance of the heating project is presented. To provide a reliable wireless communication network to support the heating project, this paper then proposed a greedy strategy based optimization algorithm of relay node deployment and the simulation results verify that the above algorithm can promote the overall system efficiency.