A Blockchain-Enabled Multi-Settlement Quasi-Ideal Peer-to-Peer Trading Framework

被引:91
作者
AlAshery, Mohamed Kareem [1 ,2 ]
Yi, Zhehan [3 ]
Shi, Di [3 ]
Lu, Xiao [4 ]
Xu, Chunlei [4 ]
Wang, Zhiwei [3 ]
Qiao, Wei [2 ]
机构
[1] GEIRINA, Dept & Syst Analyt, San Jose, CA 95134 USA
[2] Univ Nebraska Lincoln, Dept Elect & Comp Engn, Power & Energy Syst Lab, Lincoln, NE 68588 USA
[3] GEIRINA, San Jose, CA 95134 USA
[4] Jiangsu Elect Power Co, Grid Dispatch Ctr, Nanjing 210017, Peoples R China
关键词
Peer-to-peer computing; Contracts; Internet of Things; Biological system modeling; Economics; Electric potential; Blockchain; electricity markets; energy community; energy trading; peer-to-peer energy trading; transactive energy; Vickrey-Clarke-Groves; ENERGY MARKETS; DEMAND RESPONSE; REVELATION; MANAGEMENT; MECHANISMS; AUCTIONS;
D O I
10.1109/TSG.2020.3022601
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The concept of peer-to-peer (P2P) trading, or transactive energy (TE), is gaining momentum as a future grid restructure. It has the potentials to utilize distributed energy resources (DERs), proactive demand side management (DSM), and the infusion in information and communication technologies (e.g., blockchain and Internet of Things (IoT)) for promoting the technical and economic efficiency of the system in its entirety. An efficient market framework is vital for the successful and sustainable implementation of such a concept. This article proposes a P2P energy trading framework enabled by blockchain. It consolidates bilateral contracts, an electronic-commerce platform, a double-auction Vickrey-Clarke-Groves (VCG) mechanism, and trading functionalities with the main grid. Through these multi-layer mechanisms, various trading preferences and attributes of electricity generation and/or consumption are accommodated. Meanwhile, the VCG mechanism eliminates any potential for market power exercise via incentivizing truthful bidding of participants. Different remedies are proposed to overcome the drawback of VCG, i.e., the lack of balanced-budget property. Accordingly, the proposed trading framework is described as multi-settlement and quasi-ideal. Case studies are conducted to analyze and evaluate the proposed trading framework and demonstrate the effectiveness of the proposed remedies in handling probable market deficiencies.
引用
收藏
页码:885 / 896
页数:12
相关论文
共 50 条
[31]   Emergence of blockchain-technology application in peer-to-peer electrical-energy trading: a review [J].
Thukral, Manish Kumar .
CLEAN ENERGY, 2021, 5 (01) :104-123
[32]   A Proof-of-Stake public blockchain based pricing scheme for peer-to-peer energy trading [J].
Yang, Jiawei ;
Paudel, Amrit ;
Gooi, Hoay Beng ;
Hung Dinh Nguyen .
APPLIED ENERGY, 2021, 298
[33]   An Architecture and Performance Evaluation of Blockchain-Based Peer-to-Peer Energy Trading [J].
Abdella, Juhar ;
Tari, Zahir ;
Anwar, Adnan ;
Mahmood, Abdun ;
Han, Fengling .
IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (04) :3364-3378
[34]   Demand-Response Games for Peer-to-Peer Energy Trading With the Hyperledger Blockchain [J].
Zhang, Min ;
Eliassen, Frank ;
Taherkordi, Amir ;
Jacobsen, Hans-Arno ;
Chung, Hwei-Ming ;
Zhang, Yan .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (01) :19-31
[35]   Blockchain-based Peer-to-Peer Energy Trading [J].
Martinez-Trejo, Diana .
2020 IEEE PES TRANSACTIVE ENERGY SYSTEMS CONFERENCE (TESC), 2020,
[36]   Peer-to-Peer Energy Trading in Smart Grid Through Blockchain: A Double Auction-Based Game Theoretic Approach [J].
Doan, Hien Thanh ;
Cho, Jeongho ;
Kim, Daehee .
IEEE ACCESS, 2021, 9 :49206-49218
[37]   A Mining-Rewarding Mechanism for Peer-to-Peer Energy Trading Blockchain [J].
Yang, Jiawei ;
Paudel, Amrit ;
Dai, Jiahong ;
Gooi, H. B. .
2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2021,
[38]   Multi-area Peer-to-Peer Energy Trading [J].
Yao, Haotian ;
Xiang, Yue ;
Liu, Junyong ;
Hu, Shuai .
2020 IEEE STUDENT CONFERENCE ON ELECTRIC MACHINES AND SYSTEMS (SCEMS 2020), 2020, :837-842
[39]   Carbon and Energy Trading Integration within a Blockchain-Powered Peer-to-Peer Framework [J].
Boumaiza, Ameni .
ENERGIES, 2024, 17 (11)
[40]   Zero-knowledge machine learning models for blockchain peer-to-peer energy trading [J].
Fan, Caixiang ;
Sohrabbeig, Amirhossein ;
Musilek, Petr .
INTERNET OF THINGS, 2025, 32