Pricing mechanisms for peer-to-peer energy trading: Towards an integrated understanding of energy and network service pricing mechanisms

被引:27
作者
Kim, Hyun Joong [1 ]
Chung, Yun Sik [1 ]
Kim, Seong Joong [1 ]
Kim, Hyung Tae [1 ]
Jin, Young Gyu [2 ]
Yoon, Young Tae [1 ]
机构
[1] Seoul Natl Univ, Dept Elect & Comp Engn, Seoul 08826, South Korea
[2] Jeju Natl Univ, Dept Elect Engn, 102 Jejudaehak ro, Jeju Si 63243, South Korea
关键词
Consumer -centric electricity market; Energy pricing; Network service pricing; Peer -to -peer energy trading; Pricing mechanism; Transactive energy; DISTRIBUTED LEDGER TECHNOLOGY; ELECTRICITY MARKETS; DISTRIBUTION-SYSTEM; LOSS ALLOCATION; BLOCKCHAIN; TRANSMISSION; PROSUMER; ARCHITECTURES; GENERATION; CHALLENGES;
D O I
10.1016/j.rser.2023.113435
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a review and analysis of pricing strategies in peer-to-peer (P2P) energy trading to provide new insights into the design of pricing mechanisms and the establishment of sustainable and effective P2P energy markets in distribution networks. P2P energy trading is emerging as an effective management scheme for prosumers with renewable energy sources in distribution networks. Several studies have focused on designing pricing mechanisms for P2P energy trading with a focus on energy pricing but not on network service pricing. To understand the extant pricing mechanisms, 169 papers were systematically reviewed. These papers, published between 2015 and 2022, were retrieved by academic search engines. The review showed that energy pricing can be categorized into synchronous and asynchronous, while network service pricing can be classified into ex-ante and ex-post schemes. Synchronous energy pricing provides economic efficiency. Asynchronous energy pricing offers Pareto optimality and price transparency and accommodates market participant preferences. Market participation can be reduced by conflicts of interest in network service pricing, between system operators and market participants owing to the settlement of network service costs, and among participants due to pricing methods. Energy and network service pricing compatibility between different methodologies relies on market results to distinguish matched counterparties.
引用
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页数:19
相关论文
共 182 条
[1]   Peer to Peer Distributed Energy Trading in Smart Grids: A Survey [J].
Abdella, Juhar ;
Shuaib, Khaled .
ENERGIES, 2018, 11 (06)
[2]   A Grid-friendly Neighborhood Energy Trading Mechanism [J].
Abeygunawardana, Anula ;
Liu, Aaron ;
Ledwich, Gerard .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2022, 10 (05) :1349-1357
[3]   Towards transactive energy systems: An analysis on current trends [J].
Abrishambaf, Omid ;
Lezama, Fernando ;
Faria, Pedro ;
Vale, Zita .
ENERGY STRATEGY REVIEWS, 2019, 26
[4]   Bidirectional smart charging of electric vehicles considering user preferences, peer to peer energy trade, and provision of grid ancillary services [J].
Al-Obaidi, Abdullah ;
Khani, Hadi ;
Farag, Hany E. Z. ;
Mohamed, Moataz .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 124
[5]   Peer-to-peer energy trading among smart homes [J].
Alam, Muhammad Raisul ;
St-Hilaire, Marc ;
Kunz, Thomas .
APPLIED ENERGY, 2019, 238 :1434-1443
[6]   A Blockchain-Enabled Multi-Settlement Quasi-Ideal Peer-to-Peer Trading Framework [J].
AlAshery, Mohamed Kareem ;
Yi, Zhehan ;
Shi, Di ;
Lu, Xiao ;
Xu, Chunlei ;
Wang, Zhiwei ;
Qiao, Wei .
IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (01) :885-896
[7]  
Ali L., 2022, IEEE Access, V10
[8]   Blockchain-Based Fully Peer-to-Peer Energy Trading Strategies for Residential Energy Systems [J].
AlSkaif, Tarek ;
Crespo-Vazquez, Jose L. ;
Sekuloski, Milos ;
van Leeuwen, Gijs ;
Catalao, Joao P. S. .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (01) :231-241
[9]   Peer to Peer Energy Trading with Electric Vehicles [J].
Alvaro-Hermana, R. ;
Fraile-Ardanuy, Jesus ;
Zufiria, Pedro J. ;
Knapen, Luk ;
Janssens, Davy .
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2016, 8 (03) :33-44
[10]   An Effective Pricing Mechanism for Electricity Trading Considering Customer Preference and Reserved Price in Direct P2P Electricity Market Under Uncertainty in Grid Supply [J].
Amin, Waqas ;
Ahmad, Fayyaz ;
Umer, Khalid ;
Khawaja, Arsalan Habib ;
Afzal, Muhammad ;
Ahmad, Syed Adress ;
Chaitusaney, Surachai .
IEEE ACCESS, 2022, 10 :96197-96211