Research on consensus algorithm of multi energy interaction agents based on PBFT

• Published in: 2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA) Vol. 1; pp. 416 - 421
• Main Authors: Yang, Yu, Yang, Weiyong, Guo, Zixin, Zhu, Jiang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06.11.2020
• Subjects: Blockchain; Collaboration; Consensus mechanism; Energy Internet; Fault tolerance; Fault tolerant systems; Internet; Optimization; Practical Byzantine Fault Tolerance; Renewable energy sources
• DOI: 10.1109/ICIBA50161.2020.9277089

The flexible flow of renewable energy in multi energy system is an important means to make full use of renewable energy. However, the realization of multi energy system collaborative optimization faces many obstacles at the technical and institutional level. The authenticity of multi energy data, the distributed decision-making of complex system, and the trust between interaction subjects make it impossible for all interaction subjects to reach an effective consensus. As a decentralized and intelligent emerging technology, blockchain has great technical compatibility with the energy Internet, which can provide effective solutions for the collaborative optimization of the energy Internet and realize the profound transformation of the energy Internet. This paper compares and analyzes common consensus mechanisms in blockchain, and proposes a consensus method based on Practical Byzantine fault tolerance (PBFT). In this paper, we use Java programming to simulate a blockchain network composed of four nodes. The experimental results show that the consensus method can ensure the effective consensus between the multi energy interaction agents in the case of node downtime.