Decentralized peer-to-peer energy trading strategy in energy blockchain environment: A game-theoretic approach

被引:59
作者
Dong, Jingya [1 ,2 ,3 ,4 ]
Song, Chunhe [1 ,2 ,3 ,4 ]
Liu, Shuo [1 ,2 ,3 ,4 ]
Yin, Huanhuan [5 ]
Zheng, Hao [2 ,6 ]
Li, Yuanjian [2 ,6 ]
机构
[1] Chinese Acad Sci, Key Lab Networked Control Syst, Shenyang 110016, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China
[3] Chinese Acad Sci, Inst Robot & Intelligent Mfg, Shenyang 110016, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[5] State Grid Jinan Licheng Power Supply Co, Jinan 250000, Peoples R China
[6] Liaoning Univ, Coll Informat, Shenyang 110036, Peoples R China
关键词
Energy blockchain; Peer-to-peer energy trading; Game theory; Price strategy; Prosumer; DEMAND RESPONSE MANAGEMENT; GENERATION; PROSUMER;
D O I
10.1016/j.apenergy.2022.119852
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the proposed concept of energy blockchain, peer-to-peer (P2P) energy trading between prosumers is regarded as a potential way for future power market development. However, existing P2P energy trading often has problems such as low trading efficiency and significant communication losses. This paper presents an energy trading strategy in the blockchain environment to solve the problems of P2P energy trading. First, the type of market is determined based on energy supply and demand. Then, a Stackelberg game is used to establish a two-layer model of the leader (upper) and follower (lower) to determine the price. In addition, we propose an energy trading method based on feasible regions. The trading strategy considers the supply and demand of the market, provides an accurate energy transfer signal, and can help energy blockchain achieve better "self-sufficiency". A case study proves the effectiveness of the strategy. Compared with the existing methods, the strategy proposed in this paper considers the market type and can promote the coordination and complementation of energy in the microgrid, and improve trading efficiency and reduce communication loss without sacrificing privacy. This study demonstrates that P2P power trading has brought benefits to prosumers, has promoted the development of the energy market, and has shown the massive potential of energy blockchain.
引用
收藏
页数:17
相关论文
共 58 条
[1]   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
[2]  
Ahmad Bhatti Bilal, 2021, THESIS VIRGINIA TECH
[3]   Peer-to-peer energy trading among smart homes [J].
Alam, Muhammad Raisul ;
St-Hilaire, Marc ;
Kunz, Thomas .
APPLIED ENERGY, 2019, 238 :1434-1443
[4]   Cyberphysical Blockchain-Enabled Peer-to-Peer Energy Trading [J].
Ali, Faizan Safdar ;
Aloqaily, Moayad ;
Alfandi, Omar ;
Ozkasap, Oznur .
COMPUTER, 2020, 53 (09) :56-65
[5]   Development of the business feasibility evaluation model for a profitable P2P electricity trading by estimating the optimal trading price [J].
An, Jongbaek ;
Hong, Taehoon ;
Lee, Minhyun .
JOURNAL OF CLEANER PRODUCTION, 2021, 295
[6]   Determining the Peer-to-Peer electricity trading price and strategy for energy prosumers and consumers within a microgrid [J].
An, Jongbaek ;
Lee, Minhyun ;
Yeom, Seungkeun ;
Hong, Taehoon .
APPLIED ENERGY, 2020, 261
[7]   Blockchain technology in the energy sector: A systematic review of challenges and opportunities [J].
Andoni, Merlinda ;
Robu, Valentin ;
Flynn, David ;
Abram, Simone ;
Geach, Dale ;
Jenkins, David ;
McCallum, Peter ;
Peacock, Andrew .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 100 :143-174
[8]   Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach [J].
Anoh, Kelvin ;
Maharjan, Sabita ;
Ikpehai, Augustine ;
Zhang, Yan ;
Adebisi, Bamidele .
IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (02) :1264-1275
[9]   Energy trading in the distribution system using a non-model based game theoretic approach [J].
Bhatti, Bilal Ahmad ;
Broadwater, Robert .
APPLIED ENERGY, 2019, 253
[10]   Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach [J].
Chai, Bo ;
Chen, Jiming ;
Yang, Zaiyue ;
Zhang, Yan .
IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (02) :722-731