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dc.contributor.author김진오-
dc.date.accessioned2018-02-28T08:25:40Z-
dc.date.available2018-02-28T08:25:40Z-
dc.date.issued2012-08-
dc.identifier.citationAPPLIED ENERGY -BARKING THEN OXFORD-,Vol.96 No.- [2012],p161-170en_US
dc.identifier.issn0306-2619-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0306261911008786?via%3Dihub-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/41350-
dc.description.abstractDemand response (DR) extends customer participation to power systems and results in a paradigm shift from simplex to interactive operation in power systems due to the advancement of smart grid technology. Therefore, it is important to model the customer characteristics in DR. This paper proposes customer information as the registration and participation information of DR, thus providing indices for evaluating customer response, such as DR magnitude, duration, frequency and marginal cost. The customer response characteristics are modeled from this information. This paper also introduces the new concept of virtual generation resources, whose marginal costs are calculated in the same manner as conventional generation marginal costs, according to customer information. Finally, some of the DR constraints are manipulated and expressed using the information modeled in this paper with various status flags. Optimal scheduling, combined with generation and DR, is proposed by minimizing the system operation cost, including generation and DR costs, with the generation and DR constraints developed in this paper. (C) 2011 Elsevier Ltd. All rights reserved,en_US
dc.description.sponsorshipThis research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0025829).en_US
dc.language.isoenen_US
dc.publisherElsevier Science B.V., Amsterdam.en_US
dc.subjectDemand responseen_US
dc.subjectDemand resourcesen_US
dc.subjectDemand response schedulingen_US
dc.subjectOptimal schedulingen_US
dc.subjectDemand response constraintsen_US
dc.subjectELECTRICITY MARKETSen_US
dc.subjectELASTICITYen_US
dc.subjectSYSTEMen_US
dc.subjectPRICESen_US
dc.titleOptimal combined scheduling of generation and demand response with demand resource constraintsen_US
dc.typeArticleen_US
dc.relation.volume96-
dc.identifier.doi10.1016/j.apenergy.2011.12.075-
dc.relation.page161-170-
dc.relation.journalAPPLIED ENERGY-
dc.contributor.googleauthorKwag, Hyung-Geun-
dc.contributor.googleauthorKim, Jin-O-
dc.relation.code2012200838-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING-
dc.identifier.pidjokim-
dc.identifier.researcherIDR-6325-2017-
dc.identifier.orcidhttp://orcid.org/0000-0001-6476-3021-
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COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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