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Network cost allocation methods for pay-as-bid peer-to-peer energy trading: A comparisonoa mark
  • Noorfatima, N. ;
  • Choi, Y. ;
  • Onen, A. ;
  • Jung, J.
Citations

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8

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Publication Year
2022-11-01
Publisher
Elsevier Ltd
Citation
Energy Reports, Vol.8, pp.14442-14463
Keyword
Evaluation frameworkNetwork cost allocationNetwork usage costPay-as-bidPeer-to-peer energy trading
Mesh Keyword
Allocation methodsEnergy tradingEvaluation frameworkNetwork cost allocationNetwork usageNetwork usage costPay as bidPeer to peerPeer-to-peer energy tradingPerformance
All Science Classification Codes (ASJC)
Energy (all)
Abstract
In pay-as-bid peer-to-peer (P2P) energy trading, various types of prosumers and consumers can participate, regardless of their offers. Thus, various types of participants impact the network differently. However, very few pay-as-bid P2P energy trading studies have specifically discussed appropriate compensation for network usage, although the market is implemented in existing utility-owned grids. Therefore, to improve the performance of pay-as-bid P2P energy trading, it is important to determine the appropriate compensation to utilities for network usage. This study aims to obtain an appropriate network cost allocation method for pay-as-bid P2P energy trading. Hence, the authors present a review of pay-as-bid P2P market mechanisms and various network cost allocation (NCA) methods. Additionally, a comprehensive evaluation framework is proposed to determine the most appropriate NCA method for the pay-as-bid P2P energy trading system. A comparison was made between various NCA methods to investigate the outcomes of the implementation of different NCA methods to various market conditions. The study constructs a case study based on the operator-oriented P2P model to represent the pay-as-bid P2P energy trading system. The simulation of pay-as-bid P2P energy trading with large participant number is applied in the IEEE 69-bus distribution system. The study concluded that applying the appropriate NCA method would improve the performance of pay-as-bid P2P energy trading operation.
ISSN
2352-4847
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33039
DOI
https://doi.org/10.1016/j.egyr.2022.10.405
Fulltext

Type
Article
Funding
This work was also supported by “Human Resources Program in Energy Technology” 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. 20194030202370 ).This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20191210301820 ).
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Jung, Jaesung 정재성
Department of Electrical and Computer Engineering
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