{"title":"Sensor networks for agent based distributed energy resources [cool room control example]","authors":"J. Ward, G. Platt","doi":"10.1109/EMNETS.2005.1469113","DOIUrl":null,"url":null,"abstract":"We are developing agents for the control of distributed energy resources (DERS) in the electricity network. These resources consist of both generators and loads, physically located close to load centres. Although traditionally DERs have operated independently, we have been able to demonstrate an architecture whereby DERs collaborate to present an aggregated response. This aggregated response can be used to support the network at times of peak demand, increasing efficiency and robustness. In this paper, we focus on one such DER agent, which provides control of a commercial cool room. This agent utilizes a wireless sensor network to collect information on various products in the cool room, allowing the control system to respond based on aggregated conditions across the sensor network. Through development of new software and protocols, the sensor network is able to exist on the same control channel as traditional control hardware and provide extra reliability and fault tolerance.","PeriodicalId":371563,"journal":{"name":"The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II.","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMNETS.2005.1469113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We are developing agents for the control of distributed energy resources (DERS) in the electricity network. These resources consist of both generators and loads, physically located close to load centres. Although traditionally DERs have operated independently, we have been able to demonstrate an architecture whereby DERs collaborate to present an aggregated response. This aggregated response can be used to support the network at times of peak demand, increasing efficiency and robustness. In this paper, we focus on one such DER agent, which provides control of a commercial cool room. This agent utilizes a wireless sensor network to collect information on various products in the cool room, allowing the control system to respond based on aggregated conditions across the sensor network. Through development of new software and protocols, the sensor network is able to exist on the same control channel as traditional control hardware and provide extra reliability and fault tolerance.