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首页> 外文期刊>Smart Grid, IEEE Transactions on >Optimal Power and Semi-Dynamic Traffic Flow in Urban Electrified Transportation Networks
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Optimal Power and Semi-Dynamic Traffic Flow in Urban Electrified Transportation Networks

机译：城市电气化运输网络中最佳功率和半动态交通流量

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摘要

The increasing penetration of electric vehicles (EVs) and emerging dynamic wireless charging techniques have strengthened the coupling between traffic networks and power distribution networks. This increased coupling necessitates greater coordination between the two networks. This paper proposes a multi-period optimal traffic and power flow model that considers time-varying electricity and traffic demands. The distribution of traffic flow is represented by a semi-dynamic traffic assignment (SDTA) model, which considers flow propagation between adjacent periods. Combined second-order cone, convex hull, and McCormick envelope relaxations are employed to convexify the power and traffic flow model. Optimization-based bound tightening (OBBT) method combined with a heuristic sequential bound tightening (SBT) method is employed to improve the tightness of the relaxation. The modeling of multi-period scheduling provided by the SDTA model is thoroughly compared with that provided by the conventional static traffic assignment model. In addition, the proposed traffic and power flow model is employed to conduct congestion analysis of the coupled networks. Numerical results on two test systems demonstrate both the spatial and temporal impacts of congestion on each of the coupled networks. Moreover, numerical results verify that the proposed OBBT-SBT-based convex relaxation is sufficiently tight.
机译：电动车辆（EVS）和新出现的动态无线充电技术的越来越多的渗透能够强化交通网络和配电网络之间的耦合。这种增加的耦合需要在两个网络之间更大的协调。本文提出了一种多时期最佳流量和功率流模型，其考虑了时变电和交通需求。业务流量的分布由半动态流量分配（SDTA）模型表示，其考虑相邻时段之间的流传播。采用组合二阶锥，凸壳和麦克文克封套弛豫来凸出电力和交通流量模型。采用基于优化的绑定（OBBT）方法与启发式顺序绑定（SBT）方法相结合，以改善松弛的密封性。通过传统静态业务分配模型提供的，将SDTA模型提供的多时段调度的建模彻底。此外，所提出的业务和功率流模型用于对耦合网络进行拥塞分析。两个测试系统的数值结果证明了每个耦合网络上拥塞的空间和时间影响。此外，数值结果验证了所提出的obbt-sbt基凸弛豫是充分的。

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