Energy trading scheme based on consortium blockchain and game theory

被引:21
作者
Chen, Yuling [1 ,3 ]
Li, Yufeng [1 ]
Chen, Qi [2 ]
Wang, Xianmin [2 ]
Li, Tao [1 ]
Tan, Chaoyue [1 ]
机构
[1] Guizhou Univ, Coll Comp Sci & Technol, State Key Lab Publ Big Data, Guiyang, Peoples R China
[2] Guangzhou Univ, Inst Artificial Intelligence & Blockchain, Guangzhou, Peoples R China
[3] Guangxi Key Lab Cryptog & Informat Secur, Guilin, Peoples R China
关键词
Consortium blockchain; Energy internet; Energy trading; Game theory; SMART; INTERNET; MODEL;
D O I
10.1016/j.csi.2022.103699
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the gradual opening of the electricity sales market, distributed energy trading is becoming an important research topic. However, it is not easy to design practical energy trading schemes in distributed scenario. In particular, known distributed energy trading schemes do not address the security of transaction data and the maximization of benefits among all the participants. In this paper, we propose a distributed energy trading scheme based on consortium blockchain and game theory. In our scheme, a peer-to-peer trading platform is constructed to realize direct transactions among all the participants by the property of decentralization in consortium blockchain. The direct transactions greatly reduce operating costs of energy trading, and at the same time, the security of transaction data can be obtained by the cryptographic techniques such as digital signatures and hash functions associated with the underlying blockchain. Moreover, we design an energy transaction matching mechanism by game theory in our scheme. In the matching mechanism, we construct a game model among all the participants and design an equilibrium solving algorithm, which are the key techniques to realize the maximization of benefits among all the participants in energy trading. The security analysis and experimental results show that our scheme can realize the best transaction price and quantity in the transaction matching and has high security in distributed energy transaction scenarios.
引用
收藏
页数:12
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