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Energy Operation System Using Uncertain Electric Data in Korean Tariff System

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dc.contributor.authorKim, J.-
dc.contributor.authorKim, N.-
dc.contributor.authorKim, K.-
dc.contributor.authorHan, J.-
dc.contributor.authorLee, J.-
dc.contributor.authorChoi, J.-
dc.date.available2020-02-27T12:43:36Z-
dc.date.created2020-02-12-
dc.date.issued2018-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4362-
dc.description.abstractThis paper proposes an energy storage system sharing method with consideration of uncertain data in consumer's load profile and generation amount in photovoltaic voltage. For the rational decision, the power operation plan of the prosumers in the region is determined by considering the fixed electricity charge through the system operator. To consider that whole of predicted data is uncertain comparing with the practical data, we set a practical operating mechanism which depends on 2 stage central operation algorithm. Based on the proposed algorithm, we can stabilize the electric charge of all consumers obtain a result of reducing the peak load in the power system. © 2018 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.isPartOfProceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018-
dc.subjectBig data-
dc.subjectDemand side management-
dc.subjectDigital storage-
dc.subjectElectric energy storage-
dc.subjectElectric utilities-
dc.subjectInformation management-
dc.subjectEnergy storage systems-
dc.subjectKarush Kuhn tucker condition-
dc.subjectOperating mechanism-
dc.subjectOperation algorithm-
dc.subjectOperation system-
dc.subjectPhotovoltaic voltage-
dc.subjectPower operation-
dc.subjectUncertain datas-
dc.subjectElectric power system planning-
dc.titleEnergy Operation System Using Uncertain Electric Data in Korean Tariff System-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000435014000133-
dc.identifier.doi10.1109/BigComp.2018.00142-
dc.identifier.bibliographicCitationProceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, pp.747 - 750-
dc.identifier.scopusid2-s2.0-85048481593-
dc.citation.endPage750-
dc.citation.startPage747-
dc.citation.titleProceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018-
dc.contributor.affiliatedAuthorLee, J.-
dc.type.docTypeProceedings Paper-
dc.subject.keywordAuthorDemand side management-
dc.subject.keywordAuthorenergy storage system-
dc.subject.keywordAuthorKarush Kuhn Tucker conditions-
dc.subject.keywordAuthorphotovoltaic voltage-
dc.subject.keywordAuthoruncertain data-
dc.subject.keywordPlusBig data-
dc.subject.keywordPlusDemand side management-
dc.subject.keywordPlusDigital storage-
dc.subject.keywordPlusElectric energy storage-
dc.subject.keywordPlusElectric utilities-
dc.subject.keywordPlusInformation management-
dc.subject.keywordPlusEnergy storage systems-
dc.subject.keywordPlusKarush Kuhn tucker condition-
dc.subject.keywordPlusOperating mechanism-
dc.subject.keywordPlusOperation algorithm-
dc.subject.keywordPlusOperation system-
dc.subject.keywordPlusPhotovoltaic voltage-
dc.subject.keywordPlusPower operation-
dc.subject.keywordPlusUncertain datas-
dc.subject.keywordPlusElectric power system planning-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscopus-
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