Research on Location Selection and Capacity Planning of Urban Electric Vehicle Charging Station
ID:322 View Protection:ATTENDEE Updated Time:2020-11-11 12:10:30 Hits:133 Poster Presentation

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Abstract
Electric vehicle (EV) is a kind of mobile micro-grid. With the gradual increase of EV owners, the layout and planning of charging stations are gradually highlighted. Considering the travel habits of urban residents, the load distribution of electric vehicles is predicted by Monte Carlo sampling from the perspective of predicting users' travel routes. The AP algorithm is used to find the clustering center from multiple alternative locations and determine the optimal construction location of the charging station. This method fully considers the driving demand of electric vehicles and the actual situation of planning cities. Finally, an example is given to plan the charging station in the city, and good results are obtained from load forecasting to clustering out the charging station construction.
Keywords
AP algorithms; charging station; electric vehicle; load forecasting; layout; Monte Carlo Sampling
Speaker
Hongyue Ma
Xi’an Jiaotong University

Submission Author
Hongyue Ma Xi’an Jiaotong University
Hongyu Wang Xi’an Jiaotong University
Shaojie Cheng Xi’an Jiaotong University
Tao Zheng Xi’an Jiaotong University
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Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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