Planning Methods of Electric Vehicle Charging Stations Scaling and Service Radius-Based on Grid Affordability and User Convenience

被引:0
|
作者
Yang, Duo [1 ]
Tan, Mengsi [1 ]
Liu, Zongqi [1 ]
机构
[1] North China Elect Power Univ, Transmiss & Distribut Syst Res Inst, Beijing, Peoples R China
来源
INTERNATIONAL CONFERENCE ON CONTROL SYSTEM AND AUTOMATION (CSA 2013) | 2013年
关键词
electric vehicles; charging station; service radius; queuing theory; grid affordability; user convenience;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the large-scale application of electric vehicles (EV), the reasonability of EV's charging facilities construction is extremely important to the convenient utilization of the charging facilities. In this case, this paper puts forward the planning methods of electric vehicle charging stations scaling and service radius based on grid affordability and user convenience. Premised on the distribution networks affordability, in the case of maximizing scale, this paper proposes the deciding methods of charging station service radius based on queuing theory model. Then guaranteeing the convenience of users as a prerequisite, ensuring the time-consuming of the entire charging process to be accepted by users, the service radius of the charging station is determined according to the queuing theory model. An example analysis is provided to verify the validity and accuracy of this method.
引用
收藏
页码:267 / 272
页数:6
相关论文
共 18 条
  • [1] Optimal Planning of Electric Vehicle Charging Stations Considering User Satisfaction and Charging Convenience
    Xu, Di
    Pei, Wenhui
    Zhang, Qi
    ENERGIES, 2022, 15 (14)
  • [2] Planning and Evaluation of Electric Vehicle Charging Stations Considering the Service Range
    Yu, Rongjiang
    Gao, Zhenyu
    Chen, Zhonghua
    Liu, Donglin
    Wang, Caiqian
    Hu, Qian
    Wu, Yu
    Wang, Yufei
    2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021), 2021, : 953 - 957
  • [3] Research on the Planning of Electric Vehicle Fast Charging Stations Considering User Selection Preferences
    Chen, Julong
    Chen, Haoyong
    ENERGIES, 2023, 16 (04)
  • [4] Planning of Charging Stations Based on Spatial and Temporal Distribution Characteristics of Electric Vehicle Charging Demand
    Zhang M.
    Xu L.
    Yang X.
    Wu Z.
    Zhang Q.
    Dianwang Jishu/Power System Technology, 2023, 47 (01): : 256 - 265
  • [5] Planning of electric vehicle infrastructure based on charging reliability and quality of service
    Davidov, Sreten
    Pantos, Milos
    ENERGY, 2017, 118 : 1156 - 1167
  • [6] An optimal joint planning of DGs and electric vehicle charging stations in grid-connected and islanded microgrids
    Zainab, Fasiha
    Naz, Komal
    Mehmood, Khawaja Khalid
    Bukhari, Syed Basit Ali
    Wadood, Abdul
    Khalid, Hassan Abdullah
    Park, Herie
    IET RENEWABLE POWER GENERATION, 2023, 17 (07) : 1623 - 1634
  • [7] Electric Charging Demand Location ModelA User- and Destination-Based Locating Approach for Electric Vehicle Charging Stations
    Pagany, Raphaela
    Marquardt, Anna
    Zink, Roland
    SUSTAINABILITY, 2019, 11 (08):
  • [8] Menu-Based Pricing for Charging of Electric Vehicles With Vehicle-to-Grid Service
    Ghosh, Arnob
    Aggarwal, Vaneet
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (11) : 10268 - 10280
  • [9] Optimal Planning of Electric Vehicle Charging Stations Location Based on Hybrid Particle Swarm Optimization
    Tang, Zheci
    Guo, Chunlin
    Hou, Pengxin
    Fan, Yubo
    Jia, Dongming
    APPLIED ENERGY TECHNOLOGY, PTS 1 AND 2, 2013, 724-725 : 1355 - +
  • [10] Optimization design of electric vehicle charging stations based on the forecasting data with service balance consideration
    Hu, Dandan
    Zhang, Jinsong
    Zhang, Qing
    APPLIED SOFT COMPUTING, 2019, 75 : 215 - 226