Optimizing the deployment of charging systems on an expressway network considering the construction time sequence and the dynamic charging demand
YANG Yang1, ZHANG Tianyu1, ZHU Yuting2, YAO Enjian1
1. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China; 2. School of E-business and Logistics, Beijing Technology and Business University, Beijing 100048, China
Abstract：A bi-level optimization model was developed for planning charging facility deployment on an intercity highway network. The model balances the variable charging demand and the construction time sequence. The lower model is based on a dynamic traffic assignment model. The spatial-temporal distribution of the charging demand at equilibrium was obtained from simulations of multi-user driving and charging behavior. The upper model optimizes the charging station's locations and capacities using construction time sequence and level of service (LOS) constraints to minimize the operator investment. The model is then used to analyze the intercity highway network between Jinan and Qingdao in the Shandong Peninsula urban agglomeration. The model provides reliable estimates of the real-time charging system LOS and a satisfactory layout based on the user chargig preferences, network traffic conditions, and facility conditions. The layout was then analysed using forward and reverse construction time sequences. The results show that for the same LOS constraint, long-term deployment should consider future energy demands and the planners should use the reverse construction time sequence method.
杨扬, 张天雨, 朱宇婷, 姚恩建. 考虑建设时序和动态需求的城际公路充电设施优化布局[J]. 清华大学学报（自然科学版）, 2022, 62(7): 1163-1177,1219.
YANG Yang, ZHANG Tianyu, ZHU Yuting, YAO Enjian. Optimizing the deployment of charging systems on an expressway network considering the construction time sequence and the dynamic charging demand. Journal of Tsinghua University(Science and Technology), 2022, 62(7): 1163-1177,1219.
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2022, Vol. 62 
