基于最大流的电力-交通耦合系统脆弱性评估

Maximum Flow-based Vulnerability Assessment of Coupled Power-Traffic Systems

  • 摘要: 世界环境问题凸显,能源危机加剧,电动汽车得以快速发展。电动汽车同时具有的电气特性和交通特性使其成为电力和交通系统的连接点。电动汽车充电站成为交通系统和电力系统耦合的重要设施,影响电力-交通耦合系统的运行状态。本文提出了一种基于最大流量的方法分析电力-交通耦合系统脆弱性。基于交通流量分配模型,计算交通网络中电动汽车充电站的电力需求;根据最大流理论,计算输电线路中心性指数,用以识别关键线路。本文的案例分析,考虑在充电站正常和失效状态下,评估耦合交通网络的IEEE 30总线系统脆弱性。结果表明,在某个充电站失效的情况下,关键线路承载的流量显著增加。

     

    Abstract: Environmental problems and energy crisis have led to the rapid development of electric vehicles. The electrical and transportation characteristics of electric vehicles make them the connection point between the power and traffic systems. Electric vehicle charging stations have become important facilities which affect the stable operation of the coupled power-traffic-system. In this paper, a maximum flow-based approach is proposed to analyze the vulnerability of the coupled power-traffic systems. Based on the traffic assignment model, the power demand of EV charging stations in the traffic network is calculated; the centrality index of transmission lines is calculated based on the maximum flow theory for identifying the critical lines. In case study, we evaluate the vulnerability of the IEEE 30 bus system coupled with traffic network—by considering the normal operation and failure state of charging stations. The results show that the critical lines carry significantly more power in the event of a particular charging station failure.

     

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