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dc.contributor.authorChang, Chih-Lun
dc.contributor.authorPeng, J. C. -H
dc.date.accessioned2019-06-28T18:36:49Z
dc.date.available2019-06-28T18:36:49Z
dc.date.created2018-07
dc.identifier.issn1949-3053
dc.identifier.urihttps://hdl.handle.net/10735.1/6635
dc.descriptionFull text access from Treasures at UT Dallas is restricted to current UTD affiliates.
dc.description.abstractDistributed energy resources installed in the residential areas enable energy consumers to participate in the demand response of distribution systems. In the literature, the algorithms used for the decision-making process of an energy consumer are often centralized and require a dedicated communication link with the power utility. In this paper, a novel decision-making algorithm known as the auction decision process has been proposed. It helps energy consumers to independently meet the demand response in a decentralized manner. The resultant demand response operates in a distributed manner, where the limited information is transmitted among the neighboring consumers using the short-range ZigBee communication. This minimizes the required initial bulk investment for a power utility compared to using a centralized communication system. The data privacy is also improved when compared to the centralized approach. For this work, finding a path with the least transmission loss is selected as the desired constraint for the decision-making process of the demand response. The proposed method has been demonstrated using the IEEE 33 bus systems. © 2010-2012 IEEE.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.urihttp://dx.doi.org/10.1109/TSG.2016.2634583
dc.rights©2016 IEEE
dc.subjectDemand-side management (Electric utilities)
dc.subjectElectric network analyzers
dc.subjectMicrogrids (Smart power grids)
dc.subjectElectric power systems
dc.subjectRenewable energy sources
dc.subjectSmart power grids
dc.subjectCombinatorial optimization
dc.subjectDecision making
dc.subjectElectric power-plants--Load--Management
dc.subjectTelecommunication systems
dc.subjectDairy products
dc.subjectAlgorithms
dc.titleA Decision-Making Auction Algorithm for Demand Response in Microgrids
dc.type.genrearticle
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationChang, C. -L, and J. C. -H Peng. 2018. "A decision-making auction algorithm for demand response in microgrids." IEEE Transactions on Smart Grid 9(4): 3553-3562, doi:10.1109/TSG.2016.2634583
dc.source.journalIEEE Transactions on Smart Grid
dc.identifier.volume9
dc.identifier.issue4
dc.contributor.utdAuthorChang, Chih-Lun


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