Coordinated optimizations of urban traffic and power distribution systems,International Transactions on Electrical Energy Systems

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Coordinated optimizations of urban traffic and power distribution systems
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2021-03-16 , DOI: 10.1002/2050-7038.12853
Chi Zhang ₁ , Wenyuan Li ₁ , Zhifang Yang ₁ , Xia Zhao ₁

Affiliation

This paper presents a bi‐objective and bi‐hierarchical coordinated optimization model for integrated urban traffic system (UTS) and power distribution system (PDS). The two objectives target the least traffic congestion in UTS and the lowest power losses in PDS. In the upper hierarchy, the two objectives are co‐optimized with traffic light settings as optimized variables. In the lower hierarchy, a vehicle re‐routing process includes a dynamic vehicle assignment and a dynamic microscopic simulation for all individual vehicles. The two challenging issues, that is, the coordination between the microscopic simulation and the relatively macroscopic modeling and the spatiotemporal optimizations in both UTS and PDS, are fully resolved. The coordinated optimization model is solved using the NSGA‐II algorithm which is suitable for multiple objective problems. The effectiveness of the proposed model and algorithms is verified using an example of integrated UTS and PDS.

中文翻译：

城市交通和配电系统的协调优化

本文提出了一种用于城市综合交通系统（UTS）和配电系统（PDS）的双目标和双层次协调优化模型。这两个目标的目标是UTS中的流量拥塞最小，PDS中的功率损耗最小。在较高的层次结构中，将两个目标与交通信号灯设置作为优化变量共同优化。在较低的层次结构中，车辆重新路由过程包括针对所有单个车辆的动态车辆分配和动态微观仿真。完全解决了两个具有挑战性的问题，即微观模拟与相对宏观建模之间的协调以及UTS和PDS中的时空优化。使用NSGA-II算法求解协调优化模型，该算法适用于多目标问题。使用集成的UTS和PDS的示例验证了所提出的模型和算法的有效性。

更新日期：2021-05-03

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