陈涵,谭北海,余荣,王思明.基于匹配理论的分布式能源交易区块链分片技术研究[J].电测与仪表,2023,60(6):117-1124. Chen Han,Tan Beihai,Yu Rong,Wang Siming.Matching theory based sharding blockchain technology for Distributed Energy Transaction[J].Electrical Measurement & Instrumentation,2023,60(6):117-1124. |
基于匹配理论的分布式能源交易区块链分片技术研究 |
Matching theory based sharding blockchain technology for Distributed Energy Transaction |
DOI:10.19753/j.issn1001-1390.2023.06.017 |
中文关键词: 分布式能源 区块链 边缘计算 分片技术 匹配理论 |
英文关键词:Distributed Energy, Blockchain, Edge computing, Sharding technology, Matching theory |
基金项目:国家自然科学基金(61971148); 广东省基础与应用基础研究基金联合基金重点项目(2019B1515120036); 广西自然科学基金重点项目(2018GXNSFDA281013) |
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摘要点击次数: 668 |
中文摘要: |
以区块链为代表的去中心化技术因其突出的可靠性和安全性已被广泛应用于分布式能源领域。区块链分片技术可以克服传统区块链系统低吞吐量、低可扩展性的性能缺陷,然而现有区块链分片系统大多采用随机分片模式,没有考虑系统中节点的能力差异以及分片的安全隐患。为了解决这类问题,文中提出了一种在分布式能源交易场景下区块链分片的匹配算法,该方法充分考虑了分布式能源交易中节点对节点间电气距离和分片内交易数的偏好,以降低能源传输损耗和交易成本,同时考虑节点信誉值,以反映其过去在交付承诺能源方面的表现,保证分片的安全性,并将问题抽象为具有外部性的多对一匹配模型进行求解,最后通过仿真实验验证了所提出的区块链分片方法优于传统的分片方法,具有良好的应用价值。 |
英文摘要: |
Decentralized technology represented by blockchain has been widely used in the field of distributed energy because of its outstanding reliability and security. Blockchain sharding technology can overcome the performance shortcomings of low throughput and low scalability of traditional blockchain systems, but most of the existing blockchain sharding systems adopt random sharding mode, without considering the difference in the capabilities of nodes in the system and the security risks of sharding. In order to solve such problems, a matching algorithm for blockchain sharding in the scenario of distributed energy trading is proposed, which fully considers the preference of nodes for the electrical distance between nodes and the number of transactions in the shard in distributed energy transactions, so as to reduce energy transmission loss and transaction costs, and considers the node reputation value to reflect its past performance in delivering committed energy, ensure the security of sharding, and abstract the problem into a many-to-one matching model with externalities to solve the problem. Finally, simulation experiments verify that the proposed blockchain sharding method is superior to the traditional sharding method and has good application value. |
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