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适用于多虚拟电厂交易的改进拜占庭容错算法共识机制

张书涵 艾芊 李晓露 王帝

中国电力2024,Vol.57Issue(1):71-81,157,12.
中国电力2024,Vol.57Issue(1):71-81,157,12.DOI:10.11930/j.issn.1004-9649.202304046

适用于多虚拟电厂交易的改进拜占庭容错算法共识机制

Improved PBFT Consensus Mechanism for Multi-virtual Power Plant Transactions

张书涵 1艾芊 2李晓露 1王帝2

作者信息

  • 1. 上海电力大学电气工程学院,上海 200090
  • 2. 上海交通大学电子信息与电气工程学院,上海 200240
  • 折叠

摘要

Abstract

The diversity of distributed energy investment entities makes it more difficult to build trust in the process of interaction between resources,so it is necessary to explore the interaction mode of multi-virtual power plants and build a corresponding trust system.Based on the main and side blockchain technology,this paper constructs an overall architecture for the multi-virtual power plant transaction model and clarifies the transaction process of multi-virtual power plant.A cross-chain channel is constructed through the main side anchoring technology to realize the on-chain collaborative operation mode of multi-virtual power plants.To solve the problems of the lack of trust environment and the decline of blockchain performance caused by the low enthusiasm of nodes to maintain the blockchain network environment,a differentiated credit evaluation index is proposed to standardize node behavior based on different node functions,and the practical byzantine fault tolerance(PBFT)algorithm is improved using this index.Experimental results show that the consensus algorithm improved by the differentiated credit evaluation indicators can build a trust environment and improve the consensus efficiency under the proposed multi-virtual power plant architecture.

关键词

跨链/多链协同/差异化信用值评价/多虚拟电厂/改进共识

Key words

cross-chain technology/multi-chain synergy/differentiated credit value evaluation/multi-virtual power plant/improved consensus

引用本文复制引用

张书涵,艾芊,李晓露,王帝..适用于多虚拟电厂交易的改进拜占庭容错算法共识机制[J].中国电力,2024,57(1):71-81,157,12.

基金项目

国家重点研发计划资助项目(2021YFB2401203).This work is supported by the National Key R&D Program of China(No.2021YFB2401203). (2021YFB2401203)

中国电力

OA北大核心CSTPCD

1004-9649

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