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Planning of Electric Vehicle Charging-Swapping-Storage Integrated Station in AC/DC Distribution Network

1.College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.East China Electric Power Design Institute Co., Ltd., Shanghai 200001, China;3.School of Electric Power, South China University of Technology, Guangzhou 510640, China


First, this paper uses the Markov and velocity-flow models to predict the space-time load of fast-charging vehicles and electric buses. The charging and discharging power of fast-charging stations, switching stations and cascade energy storage stations are combined to construct the charging-swapping-storage integrated station (CSSIS) model. Then, a power flow model of AC/DC with CSSIS is established, and a multi-objective siting model that takes into account travel time of electric vehicles (EVs) to the station, queuing time and voltage deviation of AC/DC distribution networks is constructed. The dynamic weights combined with binary genetic algorithm are used to solve the model. Further, the Voronoi diagram is used to delineate the CSSIS service area. An optimization model is established to determine the final station site with the objective of minimizing the comprehensive investment cost. The number of chargers is optimized by the queuing theory, and the system bus voltage and CSSIS power balance are used as constraints to determine the station equipment capacity. Finally, the effectiveness of the proposed model and method is verified by examples.



This work is supported by National Natural Science Foundation of China (No. 51807114).

Get Citation
[1]ZENG Menglong, WEI Gang, ZHU Lan, et al. Planning of Electric Vehicle Charging-Swapping-Storage Integrated Station in AC/DC Distribution Network[J]. Automation of Electric Power Systems,2021,45(18):52-60. DOI:10.7500/AEPS20210112007
  • Received:January 12,2021
  • Revised:March 18,2021
  • Adopted:
  • Online: September 16,2021
  • Published: