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Development of Day-Ahead Peer-to-Peer Energy Trading with Time-Series Clustering
  • Noorfatima, Nadya ;
  • Jung, Jaesung ;
  • Onen, Ahmet ;
  • Yoldas, Yeliz
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Publication Year
2023-01-01
Journal
2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023
Keyword
day-ahead tradingdistributed optimizationPeer-to-peer energy tradingtime-series clustering
Mesh Keyword
Actual conditionsDay-aheadDay-ahead tradingDistributed Energy ResourcesDistributed optimizationEnergy tradingPeer to peerPeer-to-peer energy tradingTime series clusteringTrading of electricities
All Science Classification Codes (ASJC)
Surfaces, Coatings and FilmsInstrumentationEnergy Engineering and Power TechnologyElectrical and Electronic EngineeringMechanical EngineeringElectronic, Optical and Magnetic Materials
Abstract
Day-ahead trading of electricity has been applied to ensure the balance between the amount of electricity sold and bought. Even so, due to the intermittent distributed energy resources (DERs), the actual condition can be varied significantly, and forecasting can be costly in order to provide high accuracy to minimize losses. Hence, this paper proposes a novel model-based day-ahead peer-to-peer (P2P) energy trading with regionalized trading prices, which are determined through time-series clustering. To improve the determination of price regions, the data parameter is derived from the day-ahead condition, which is forecasted from network condition, trading capacity, and trading price of the P2P energy trading. The performance of the proposed model of day-ahead P2P energy trading is evaluated with respect to the market operation stability and optimality.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36925
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85183597150&origin=inward
DOI
https://doi.org/10.1109/asemd59061.2023.10369232
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10368384
Type
Conference
Funding
This work was supported by the International Energy Joint R&D Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea. (No. 20228530050030)
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