Robust Operation of Distribution Networks Coupled With Urban Transportation Infrastructures
Robust Operation of Distribution Networks Coupled With Urban Transportation Infrastructures
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DOI：
10.1109/tpwrs.2016.2595523
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发表时间：
2017-05
影响因子：
6.6
通讯作者：
Wei Wei-Wei;S. Mei;Lei Wu;Jianhui Wang;Yujuan Fang
中科院分区：
文献类型：
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作者：
Wei Wei-Wei;S. Mei;Lei Wu;Jianhui Wang;Yujuan Fang
我们研究配电网络（PDN）与城市交通网络耦合的能源调度。每个充电/交换设施的电力需求受到电动汽车的到达率和充电请求的影响，这进一步取决于整个交通系统中交通流的空间分布。我们从系统层面考虑道路拥堵对车辆路线选择的影响。稳定状态下的流量模式由 Wardrop 用户均衡来表征。我们考虑了流量需求不确定性引起的PDN负载扰动，并提出了一种鲁棒的调度方法，该方法保持了交流潮流约束的可行性。通过将凸松弛应用于非线性支路潮流方程，所提出的模型产生了具有隐式不确定性集的两阶段鲁棒凸优化问题。此外，提出了一个分解框架，其中第一阶段通过解决与极端场景相关的两个交通分配问题来确定电力需求的不确定性集，第二阶段遵循延迟约束生成框架解决两阶段鲁棒二阶锥程序。详细阐述了有关可扩展性和保守性的几个问题。案例研究证实了该方法的适用性和效率。
We study the energy dispatch of power distribution networks (PDNs) coupled with urban transportation networks. The electricity demand at each charging/swapping facility is influenced by the arrival rates and charging requests of electric vehicles, which further depends on the spatial distribution of traffic flows over the entire transportation system. We consider the impact of the road congestion on route choices of vehicles from a system-level perspective. The traffic flow pattern in steady state is characterized by the Wardrop user equilibrium. We consider the PDN load perturbation caused by the traffic demand uncertainty, and propose a robust dispatch method that maintains the feasibility of an alternating current power flow constraints. By applying the convex relaxation to nonlinear branch power flow equations, the proposed model yields a two-stage robust convex optimization problem with an implicit uncertainty set. Moreover, a decomposition framework is proposed, in which the first phase determines the uncertainty set of electricity demand by solving two traffic assignment problems associated with the extreme scenarios, and the second phase solves a two-stage robust second-order cone program following a delayed constraint generation framework. Several issues regarding the scalability and conservatism are elaborated. Case studies corroborate the applicability and efficiency of the proposed method.