The increasing penetration of electric vehicles is tightly coupling the operation of power and transportation systems. The representation of the dynamics of network flows in response to real-time information and control strategies is a problem of considerable practical significance. However, most of work considers static network models that are only suitable for long-term planning horizons. This paper seeks to develop an integrated modeling framework for the real-time analysis and operation of the coupled systems. In particular, a dynamic traffic assignment model is exploited to account for the time-varying travel demand and flow dynamics. An accelerated diagonalization algorithm is proposed to compute the traffic flows in an efficient manner. Moreover, we show that the equilibrium flow pattern of the coupled systems can be characterized by a fixed-point problem, thus motivating a decentralized approach to attain the flow solutions. Numerical studies demonstrate both the spatial and temporal interconnections between the power and traffic flows. The comparison of network flow solutions based on the dynamic, semi-dynamic and static transportation network models is presented.

电动汽车的日益普及正在将电力和运输系统的运行紧密地结合在一起。网络流量动态响应实时信息和控制策略的表示是一个具有重大实际意义的问题。但是，大多数工作都考虑仅适用于长期规划范围的静态网络模型。本文旨在开发一个集成的建模框架，用于耦合系统的实时分析和操作。特别是，利用动态交通分配模型来说明随时间变化的出行需求和流量动态。提出了一种加速对角化算法，可以高效地计算交通流量。此外，我们表明，耦合系统的平衡流型可以通过定点问题来表征，从而激发了一种分散方法来获得流解。数值研究表明，电力和交通流之间在空间和时间上都相互关联。提出了基于动态，半动态和静态运输网络模型的网络流量解决方案的比较。