计算机与现代化 ›› 2023, Vol. 0 ›› Issue (08): 112-118.doi: 10.3969/j.issn.1006-2475.2023.08.018

• 信息安全 • 上一篇    下一篇

基于节点特征模型的电力区块链竞价交易机制

  

  1. (国家电网山东省电力公司泰安供电公司,山东 泰安 271000)
  • 出版日期:2023-08-30 发布日期:2023-09-13
  • 作者简介:吕志星(1971—),男,山东泰安人,工程师,研究方向:电力信息化,区块链,大数据, E-mail: 87216959@qq.com; 于晖(1983—),男,山东临沂人,助理工程师,研究方向:电力信息化; 康凯(1988—),男,河北平泉人,工程师,研究方向:电力信息化; 李腾昌(1988—),男,山东蓬莱人,工程师,研究方向:电力信息化,数据挖掘; 杜国利(1963—),男,山东泰安人,工程师,研究方向:电力信息化。
  • 基金资助:
    国网山东省电力公司科技项目资助(5206091900FC)

A Feature Modeling Based Bidding Trading Mechanism in Power Blockchain

  1. (Taian Branch, State of Grid Shandong Electric Power Compang, Taian 271000, China)
  • Online:2023-08-30 Published:2023-09-13

摘要: 摘要:随着电力服务需求的增加以及电力交易市场化程度的加深,对能源进行合理高效的交易已经成为国家重大需求。传统电力交易系统所采用的集中交易模式,导致业务处理耗时长、运行成本高、缺乏监管以及易被攻击等问题,急需建立与之相适配的交易业务处理规则与工作流程。区块链去中心化、不可篡改、数据可追溯、合约自动执行等特性,为解决上述问题带来了可能。将交易主体的信用度和活跃度考虑在内,提出一个基于节点特征模型的电力区块链竞价交易机制。该机制可充分调动节点的市场积极性和能动性,节约管理成本,减少失信行为,为电力交易提供安全高效的服务,并以智能合约的形式进行分布式部署。利用联盟链超级账本搭建电力区块链实验环境,验证本文所提方法的可行性与高效性,未来可应用于大规模电力交易业务场景。

关键词: 关键词:电力区块链, 特征模型, 竞价, 交易, 智能合约

Abstract: Abstract: With the gradual improvement of the requirement of power service and marketization of the power industry, how to reasonably trade and effectively utilize power has become a key requirement for China. Due to the centralized trade mode in the traditional power system, there are many problems, such as long-term processing, high trading cost, lack of supervision, potential attack risk, which means that the adaptive trading business processing rules and workflow are required. As an innovative information technology, blockchain has combined the advantages of decentralization, immutability, data provenance and contract operation automatically, which can be used to solve the abovementioned issues. Taking the individual credibility and liveness into account, a feature modeling based bidding trading mechanism in power blockchain is proposed. This approach fully mobilizes the enthusiasm and initiative of nodes, which can save amount of intermediary cost and reduce behaviors of breaching promises. In addition, the secure and effective trading service of power is provided. The corresponding trade is deployed under the smart contract with distributed mode. The experimental results using Hyperledger demonstrate that the proposed mechanism is feasible and effective, which can be applied to large scale power trading business scenarios.

Key words: Key words: power blockchain, feature modeling, bidding, trading, smart contract

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