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Optimized Allocation of Charging Stations for Electric Vehicles Based on Historical Trajectories
Author:
Affiliation:

1. College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China;2. Hangzhou Shuyuan Information Technology Co. Ltd., Hangzhou 310012, China

Abstract:

A reasonable layout of charging facilities is crucial to electric vehicles(EVs)due to the endurance mileage deficiency. Travel behaviors of EVs are simulated based on the historical trajectories from the automatic number plate recognition(ANPR)data. Thus, by giving an allocation of charging stations, charging behaviors of EVs are simulated using the typical pattern of charging choices based on their trip characteristics. The charging demand and cost of EVs and the profit of operators can be obtained. Consequently, reasonable locations and capacities of charging stations for an optimized layout are determined by minimizing the sum of the charging-trip ratio(CTR)and the cost-benefit ratio(CBR). Furthermore, they should be restricted by user psychology and the capacity of power grid. A case study(including 151 signal intersections)is given to demonstrate the effectiveness of optimization method. Moreover, the influence of workdays/weekends, the increase of traffic demand and the development of battery on the allocation is analyzed.

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Get Citation
[1]FU Fengjie, FANG Yaxiu, DONG Hongzhao, et al. Optimized Allocation of Charging Stations for Electric Vehicles Based on Historical Trajectories[J]. Automation of Electric Power Systems,2018,42(12):72-80. DOI:10.7500/AEPS20171026002
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History
  • Received:October 26,2017
  • Revised:May 10,2018
  • Adopted:January 23,2018
  • Online: May 04,2018
  • Published: