Distributed decision-making for energy trading between agent-based dual microgrids
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yu, Mengmeng | - |
dc.contributor.author | Hong, Seung ho | - |
dc.contributor.author | Li, Yuting | - |
dc.contributor.author | Zhang, Xiongfeng | - |
dc.contributor.author | Ye, Xun | - |
dc.date.accessioned | 2021-06-22T14:22:20Z | - |
dc.date.available | 2021-06-22T14:22:20Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2017-04 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/10034 | - |
dc.description.abstract | This paper presents a novel decision-making scheme for facilitating energy trading between two agent-based microgrids (MGs) in an autonomous way. The interactions during the energy trading process are appropriately analyzed using Stackelberg game theory, where a unique Stackelberg equilibrium (SE) is proven to exist in the game. To protect the private information of each MG, a fully distributed algorithm is proposed to find the SE through message exchanges, which yields the optimal trading price as well as the optimal trading quantity for participating MGs. Simulation results show that the proposed approach is effective for obtaining the optimal energy trading price and quantity, and also helps each MG arrive at maximal utility or minimal cost. © 2017 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Distributed decision-making for energy trading between agent-based dual microgrids | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Hong, Seung ho | - |
dc.identifier.doi | 10.1109/MSCPES.2017.8064539 | - |
dc.identifier.scopusid | 2-s2.0-85034765412 | - |
dc.identifier.bibliographicCitation | 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017 - Held as part of CPS Week, Proceedings | - |
dc.relation.isPartOf | 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017 - Held as part of CPS Week, Proceedings | - |
dc.citation.title | 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017 - Held as part of CPS Week, Proceedings | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Autonomous agents | - |
dc.subject.keywordPlus | Commerce | - |
dc.subject.keywordPlus | Costs | - |
dc.subject.keywordPlus | Game theory | - |
dc.subject.keywordPlus | Power markets | - |
dc.subject.keywordPlus | Agent-based systems | - |
dc.subject.keywordPlus | Distributed decision making | - |
dc.subject.keywordPlus | Energy trading | - |
dc.subject.keywordPlus | Micro grid | - |
dc.subject.keywordPlus | Stackelberg Games | - |
dc.subject.keywordPlus | Decision making | - |
dc.subject.keywordAuthor | Agent-based systems | - |
dc.subject.keywordAuthor | distributed decision-making | - |
dc.subject.keywordAuthor | energy trading | - |
dc.subject.keywordAuthor | microgrid | - |
dc.subject.keywordAuthor | Stackelberg game | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8064539/ | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.