Citation Export
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Heo, Kangioon | - |
dc.contributor.author | Jung, Jaesung | - |
dc.date.issued | 2020-03-01 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36572 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084946767&origin=inward | - |
dc.description.abstract | This paper proposes a peer-to-peer (P2P) energy trade operating methodology in a community that comprises several residential customers. Unlike previous studies on P2P energy trading, this paper suggests an operator-oriented trading scheme to solve a social welfare maximization problem by using the block rate price (BRP). Under this scheme, the operator, rather than each of the participants, decides the trading price and schedules. For this scenario, a price model and a social welfare problem were formulated. The former aims at a fair profit distribution between sellers and buyers, and the latter targets maximizing the community's total profit. The results are verified using a case study on a community consisting of residential customers in South Korea who adapted the BRP. | - |
dc.description.sponsorship | This research was supported by Korea Electric Power Corporation. (Grant number: R17XA05-37) | - |
dc.description.sponsorship | ACKNOWLEDGMENTS This research was supported by Korea Electric Corporation. (Grant number: R17XA05-37). | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.subject.mesh | Energy trading | - |
dc.subject.mesh | Peer to peer | - |
dc.subject.mesh | Price models | - |
dc.subject.mesh | Profit distributions | - |
dc.subject.mesh | Residential customers | - |
dc.subject.mesh | Social welfare | - |
dc.subject.mesh | Social welfare maximization | - |
dc.subject.mesh | Total profits | - |
dc.title | Operator-oriented Peer-to-peer Energy Trading among Residential Customers in South Korea | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2020.3.7. ~ 2020.3.9. | - |
dc.citation.conferenceName | 4th International Conference on Green Energy and Applications, ICGEA 2020 | - |
dc.citation.edition | Proceedings of 2020 4th International Conference on Green Energy and Applications, ICGEA 2020 | - |
dc.citation.endPage | 84 | - |
dc.citation.startPage | 80 | - |
dc.citation.title | Proceedings of 2020 4th International Conference on Green Energy and Applications, ICGEA 2020 | - |
dc.identifier.bibliographicCitation | Proceedings of 2020 4th International Conference on Green Energy and Applications, ICGEA 2020, pp.80-84 | - |
dc.identifier.doi | 10.1109/icgea49367.2020.241504 | - |
dc.identifier.scopusid | 2-s2.0-85084946767 | - |
dc.identifier.url | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9070015 | - |
dc.subject.keyword | Block rate pricing | - |
dc.subject.keyword | Operator-oriented trading scheme | - |
dc.subject.keyword | Peer-to-peer energy trading | - |
dc.subject.keyword | Social welfare maximization | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Energy Engineering and Power Technology | - |
dc.subject.subarea | Renewable Energy, Sustainability and the Environment | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.