江昊, 黄诗岩, 张庚. 信息网–电网–交通网模型构建与故障传播研究[J]. 电力信息与通信技术, 2021, 19(9): 15-23. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.09.003
引用本文: 江昊, 黄诗岩, 张庚. 信息网–电网–交通网模型构建与故障传播研究[J]. 电力信息与通信技术, 2021, 19(9): 15-23. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.09.003
JIANG Hao, HUANG Shiyan, ZHANG Geng. Research on Modelling Method and Fault Propagation Analysis of Communication Network-Power Grid-Traffic Network[J]. Electric Power Information and Communication Technology, 2021, 19(9): 15-23. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.09.003
Citation: JIANG Hao, HUANG Shiyan, ZHANG Geng. Research on Modelling Method and Fault Propagation Analysis of Communication Network-Power Grid-Traffic Network[J]. Electric Power Information and Communication Technology, 2021, 19(9): 15-23. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.09.003

信息网–电网–交通网模型构建与故障传播研究

Research on Modelling Method and Fault Propagation Analysis of Communication Network-Power Grid-Traffic Network

  • 摘要: 随着电动汽车的普及,电气化交通大规模接入电网,导致电力系统的负担急剧增加,无约束的充电行为增加电网级联故障传播的风险及道路的拥堵程度,电网与交通网需要借助“智慧的大脑”——信息网以指挥自身的行为,因此,电网、信息网、交通网三者相互交叉耦合、相辅相成成为新的发展趋势。网络间的耦合增加网络的鲁棒性及网络的脆弱性,文章研究了三网间的耦合机理,并在此基础上,对比普通电网–交通网模型,并验证三网的可靠性。

     

    Abstract: With the popularity of electric vehicles, large-scale electrical traffic load is an increasing burden for power system, the uncontrolled charging behavior also increases the risk of power grid cascading failure propagation and road congestion, power grids and traffic network needed a "wisdom mind" - information network to command these behaviors, Therefore, the power grid, information network and traffic network have become a new development trend. However, the coupling of networks will not only increase the robustness of the network, but also increase the vulnerability of the network. This paper studies the coupling mechanism among the three networks. On this basis, the reliability of the three networks is verified by comparing with the traditional power grid and traffic network model.

     

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