基于pbft的区域能源互联网区块链交易共识

Dong Wang, Hejian Wang, Zhenhua Yan, Junwei Ma, Yongliang Li, Songpu Ai, Junwei Cao
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引用次数: 1

摘要

能源互联网将由分布式发电设备、分布式储能设备和各种负荷组成的各类能源网络中的大量能源节点互联起来。它实现了双向点对点能量交换和共享网络,是区块链的一个重要应用场景。随着越来越多的生产者和消费者加入能源互联网,产生了大量的能源交易共识需求。随着能源互联网的扩大,能源区块链广泛采用的共识机制一般难以保证交易的有效发展和进行。针对分布式电力交易场景,提出了一种基于PBFT方法的区域能源互联网区块链共识机制。该机制基于声誉选择共识组,降低了共识组节点出现拜占庭节点的概率,避免了共识组节点固定导致共识组节点过度中心化的问题。一定数量的本地高声誉节点参与共识,避免了采用PBFT共识机制时由于共识节点数量增加而导致的共识效率降低的问题。多组共识节点同时参与共识,可以减少共识节点被攻击的可能性,缓解固定共识组节点的共识压力。提高了区域能源互联网场景下微电网的可扩展性。实验结果证实了该机制的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PBFT-based Regional Energy Internet Blockchain Transaction Consensus
Energy Internet interconnects a large number of energy nodes of various types of energy networks composed of distributed energy generating devices, distributed energy storage devices and various loads. It realizes two-way peer-to-peer energy exchanging and sharing network, which is an important application scenario of blockchain. As more producers and consumers join the energy Internet, a large number of consensus demands for energy transactions are generated. The consensus mechanisms widely adopted in the energy blockchains are generally hardly ensuring the effective development and conduct of transactions with the expansion of an energy Internet. In this paper, a regional energy Internet blockchain consensus mechanism based on the PBFT method is proposed for the distributed power transaction scenario. The mechanism selects consensus groups based on reputation, which reduces the probability of consensus group nodes appearing Byzantine nodes, and keeps away from the problem of excessive centralization of consensus group nodes caused by fixed consensus group nodes. Local, high-reputation nodes in a certain quantitative participate in consensus, avoiding the problem of reduced consensus efficiency caused by the increasing number of consensus nodes when the PBFT consensus mechanism is adopted. Multiple groups of consensus nodes participating in consensus concurrently could reduce the possibility of consensus nodes being attacked and ease the consensus pressure of fixed consensus group nodes. The scalability of the microgrid under the regional energy Internet scenario is improved. Experimental results confirmed the effectiveness of the proposed mechanism.
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