Two stage market model in microgrid using cooperative game theory
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, J. | - |
dc.contributor.author | Heo, Y. | - |
dc.contributor.author | Lee, G.H. | - |
dc.contributor.author | Lee, J. | - |
dc.contributor.author | Oh, H. | - |
dc.contributor.author | Choi, J. | - |
dc.date.available | 2020-02-27T12:44:17Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4416 | - |
dc.description.abstract | For 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.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.isPartOf | 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018 | - |
dc.subject | Commerce | - |
dc.subject | Demand side management | - |
dc.subject | Electric utilities | - |
dc.subject | Energy utilization | - |
dc.subject | Renewable energy resources | - |
dc.subject | Cooperative game theory | - |
dc.subject | Energy consumption and production | - |
dc.subject | Karush Kuhn tucker condition | - |
dc.subject | Micro-grid systems | - |
dc.subject | Photovoltaic voltage | - |
dc.subject | Prediction errors | - |
dc.subject | Renewable energy source | - |
dc.subject | Shapley value | - |
dc.subject | Game theory | - |
dc.title | Two stage market model in microgrid using cooperative game theory | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1109/GCCE.2018.8574874 | - |
dc.identifier.bibliographicCitation | 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018, pp.83 - 84 | - |
dc.identifier.scopusid | 2-s2.0-85060293889 | - |
dc.citation.endPage | 84 | - |
dc.citation.startPage | 83 | - |
dc.citation.title | 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018 | - |
dc.contributor.affiliatedAuthor | Lee, J. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | Cooperative game theory | - |
dc.subject.keywordAuthor | Demand side management | - |
dc.subject.keywordAuthor | Karush Kuhn Tucker conditions | - |
dc.subject.keywordAuthor | Photovoltaic voltage | - |
dc.subject.keywordAuthor | Shapley value | - |
dc.subject.keywordPlus | Commerce | - |
dc.subject.keywordPlus | Demand side management | - |
dc.subject.keywordPlus | Electric utilities | - |
dc.subject.keywordPlus | Energy utilization | - |
dc.subject.keywordPlus | Renewable energy resources | - |
dc.subject.keywordPlus | Cooperative game theory | - |
dc.subject.keywordPlus | Energy consumption and production | - |
dc.subject.keywordPlus | Karush Kuhn tucker condition | - |
dc.subject.keywordPlus | Micro-grid systems | - |
dc.subject.keywordPlus | Photovoltaic voltage | - |
dc.subject.keywordPlus | Prediction errors | - |
dc.subject.keywordPlus | Renewable energy source | - |
dc.subject.keywordPlus | Shapley value | - |
dc.subject.keywordPlus | Game theory | - |
dc.description.journalRegisteredClass | scopus | - |
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