基于区块链的电网工程数据差异化风险评估
CSTR:
作者:
作者单位:

(1.国网山西省电力公司经济技术研究院,山西 太原 030000;2.武汉大学电气与自动化学院,湖北 武汉 430072)

通讯作者:

方华亮(1977—),男,博士,副教授,主要从事区块链技术、智能电网规划、电力大数据应用等研究;E?mail:hlfang@whu.edu.cn

中图分类号:

TP 301.6

基金项目:

国网山西省电力公司科技项目(SGRSXTY00J1JS21037);国家重点研发计划智能电网专项(2018YFB0904205)


Differential risk evaluation of power grid project data based on blockchain
Author:
Affiliation:

(1.Economic and Technological Research Institute of State Grid Shanxi Electric Power Company,Taiyuan 030000, China;2.School of Electrical and Automation, Wuhan University, Wuhan 430072, China)

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    摘要:

    电网工程地理位置复杂、跨越距离大、周期长,受外界环境、市场及人为等因素影响,数据变化频繁,电网工程造价管控困难。基于区块链技术构建电网工程数据链结构,可实现数据完整性、过程监督、事后追溯等管理。建立电网工程数据的概率分析模型,研究了不同随机因素对工程数据变化影响的灵敏度计算模型。基于改进差分进化算法可计算电网工程最优风险水平,提出基于区块链的电网工程造价数据的差异化风险管理流程。工程实例表明,本文方法可提高电网工程造价数据可信度,主动应对造价变化风险,实现对不同电网工程数据的差异化管理。

    Abstract:

    The power grid engineering data varies frequently due to the complex geographical location, long span distance and long cycle, and the external environment, market and human stochastic factors, which makes the cost control of power grid engineering difficult. The data chain construction of power grid engineering based on blockchain technology can realize the management of data integrity, process supervision, and traceability. The probabilistic analysis model of power grid engineering data is established, and the sensitivity calculation model of the different random factors influence on the engineering data changes is studied. Based on the improved differential evolution algorithm, the optimal risk level of power grid engineering is calculated, and a differentiated risk management process of power grid engineering cost data based on blockchain is proposed. The analysis of engineering examples shows that the proposed method can improve the reliability of the cost data, proactively respond to the risk of cost changes, and realize the differentiated management of different engineering data.

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王 正,白 杨,孟长虹,等.基于区块链的电网工程数据差异化风险评估[J].电力科学与技术学报,2023,38(5):236-245.
WANG Zheng, BAI Yang, MENG Changhong, et al. Differential risk evaluation of power grid project data based on blockchain[J]. Journal of Electric Power Science and Technology,2023,38(5):236-245.

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