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Operator-oriented Peer-to-peer Energy Trading among Residential Customers in South Korea
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Publication Year
2020-03-01
Journal
Proceedings of 2020 4th International Conference on Green Energy and Applications, ICGEA 2020
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings of 2020 4th International Conference on Green Energy and Applications, ICGEA 2020, pp.80-84
Keyword
Block rate pricingOperator-oriented trading schemePeer-to-peer energy tradingSocial welfare maximization
Mesh Keyword
Energy tradingPeer to peerPrice modelsProfit distributionsResidential customersSocial welfareSocial welfare maximizationTotal profits
All Science Classification Codes (ASJC)
Energy Engineering and Power TechnologyRenewable Energy, Sustainability and the Environment
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.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36572
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084946767&origin=inward
DOI
https://doi.org/10.1109/icgea49367.2020.241504
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9070015
Type
Conference
Funding
This research was supported by Korea Electric Power Corporation. (Grant number: R17XA05-37)ACKNOWLEDGMENTS This research was supported by Korea Electric Corporation. (Grant number: R17XA05-37).
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Jung, Jaesung  Image
Jung, Jaesung 정재성
Department of Electrical and Computer Engineering
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