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dc.creatorKoliopoulos K., Koutitas G., Tassiulas L.en
dc.date.accessioned2023-01-31T08:43:37Z
dc.date.available2023-01-31T08:43:37Z
dc.date.issued2016
dc.identifier10.1109/INFCOMW.2016.7562225
dc.identifier.isbn9781467399555
dc.identifier.issn0743166X
dc.identifier.urihttp://hdl.handle.net/11615/74977
dc.description.abstractThis paper presents a novel and scalable Demand Response (DR) implementation for smart grid applications using admission control algorithms. Subscribers are assumed to send requests to enter to utility's DR programs whereas a Demand Response Automation Server (DRAS) manages the requests in collaboration with the utility. The DRAS is responsible to manage and schedule the requests based on an admission control algorithm that follows concepts met in the Mobile industry. Incentives to users are provided under a payback function modeled as a square function of gains related to the offered load reduction. Admission is based on a scheduling technique named as High Reduction First and Low Reduction First. A Random scheme is also modeled for comparison. It is observed that DR can provide mutual benefits for the utility and the subscribers, whereas the payback function is important for incentive purposes and adoption of DR services by the subscribers. © 2016 IEEE.en
dc.language.isoenen
dc.sourceProceedings - IEEE INFOCOMen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84988838000&doi=10.1109%2fINFCOMW.2016.7562225&partnerID=40&md5=c8e3bbea4e66da46c98ffdeb06725a1b
dc.subjectAccess controlen
dc.subjectElectric power transmission networksen
dc.subjectDemand responseen
dc.subjectDirect load controlen
dc.subjectGrid reliabilityen
dc.subjectMobile industryen
dc.subjectMutual benefiten
dc.subjectScheduling techniquesen
dc.subjectSmart griden
dc.subjectSmart grid applicationsen
dc.subjectSmart power gridsen
dc.subjectInstitute of Electrical and Electronics Engineers Inc.en
dc.titleDemand Response using Admission Controlen
dc.typeconferenceItemen


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