Improvement and Application of Blockchain Consensus Algorithm for Distributed Power Energy System

被引:0
|
作者
Liang, Junlong [1 ]
Wu, Xiaoming [1 ]
Liu, Xiangzhi [1 ]
Chen, Ran [1 ]
机构
[1] Qilu Univ Technol, Shandong Acad Sci, Shandong Comp Sci Ctr, Natl Supercomp Ctr Jinan, Jinan, Peoples R China
来源
2023 IEEE 8TH INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS, ICBDA | 2023年
关键词
Blockchain; consensus algorithm; distributed power energy; security; performance; scalability; MECHANISM;
D O I
10.1109/ICBDA57405.2023.10104765
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article focuses on the application of blockchain consensus algorithms in the power energy trading system and the comparison of these algorithms such as PBFT(Practical Byzantine Fault Tolerance), Raft and IBFT(Istanbul Byzantine Fault Tolerance). The article introduces the concept of blockchain consensus algorithms and its application in power energy trading system. It then provides a brief overview of the three algorithms and their underlying structures. The comparison of the algorithms is done in terms of features such as scalability, reliability and security. The article also provides an overview of the advantages and disadvantages of each algorithm and its application in power energy trading system. We examine the blockchain partition algorithm improved by the integration of Raft consensus and IBFT consensus, with a special focus on the advantages of using a hybrid algorithm in distributed networks. We discuss the need for consensus algorithms that are well-suited to blockchain networks and the improved security provided by a consensus algorithm incorporating both Raft and IBFT.We also discuss the implications of incorporating Raft and IBFT into a blockchain partition algorithm and its potential scalability. In conclusion, we provide a synthesis of our research, with potentials for further studies and contributions in this field.
引用
收藏
页码:77 / 82
页数:6
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