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Two stage market model in microgrid using cooperative game theory

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dc.contributor.authorKim, J.-
dc.contributor.authorHeo, Y.-
dc.contributor.authorLee, G.H.-
dc.contributor.authorLee, J.-
dc.contributor.authorOh, H.-
dc.contributor.authorChoi, J.-
dc.date.available2020-02-27T12:44:17Z-
dc.date.created2020-02-12-
dc.date.issued2018-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4416-
dc.description.abstractFor micro grids with renewable energy sources, the main goal is to optimize the energy usage in a particular area based on the prediction of energy consumption and production. However, prediction error cannot be evaded and it causes various problems to operate microgrid system. To solve these problems, we are going to propose two-stage energy operation model in a local microgrid system. In addition, by applying cooperative game theory with the Shapley-value algorithm, revenue and payment are determined in real-time period based on the actual contribution of individual prosumer. Numerical anaylsis shows that our suggested approach can reduce peak load more than 16% and reduce the total charge over 5% compared with the case of non-cooperative energy market. © 2018 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.isPartOf2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018-
dc.subjectCommerce-
dc.subjectDemand side management-
dc.subjectElectric utilities-
dc.subjectEnergy utilization-
dc.subjectRenewable energy resources-
dc.subjectCooperative game theory-
dc.subjectEnergy consumption and production-
dc.subjectKarush Kuhn tucker condition-
dc.subjectMicro-grid systems-
dc.subjectPhotovoltaic voltage-
dc.subjectPrediction errors-
dc.subjectRenewable energy source-
dc.subjectShapley value-
dc.subjectGame theory-
dc.titleTwo stage market model in microgrid using cooperative game theory-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.1109/GCCE.2018.8574874-
dc.identifier.bibliographicCitation2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018, pp.83 - 84-
dc.identifier.scopusid2-s2.0-85060293889-
dc.citation.endPage84-
dc.citation.startPage83-
dc.citation.title2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018-
dc.contributor.affiliatedAuthorLee, J.-
dc.type.docTypeConference Paper-
dc.subject.keywordAuthorCooperative game theory-
dc.subject.keywordAuthorDemand side management-
dc.subject.keywordAuthorKarush Kuhn Tucker conditions-
dc.subject.keywordAuthorPhotovoltaic voltage-
dc.subject.keywordAuthorShapley value-
dc.subject.keywordPlusCommerce-
dc.subject.keywordPlusDemand side management-
dc.subject.keywordPlusElectric utilities-
dc.subject.keywordPlusEnergy utilization-
dc.subject.keywordPlusRenewable energy resources-
dc.subject.keywordPlusCooperative game theory-
dc.subject.keywordPlusEnergy consumption and production-
dc.subject.keywordPlusKarush Kuhn tucker condition-
dc.subject.keywordPlusMicro-grid systems-
dc.subject.keywordPlusPhotovoltaic voltage-
dc.subject.keywordPlusPrediction errors-
dc.subject.keywordPlusRenewable energy source-
dc.subject.keywordPlusShapley value-
dc.subject.keywordPlusGame theory-
dc.description.journalRegisteredClassscopus-
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