Research on Location Selection and Capacity Planning of Urban Electric Vehicle Charging Station

Hongyue Ma, Hongyu Wang, Shaojie Cheng, Tao Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationAPAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages331-335
Number of pages5
ISBN (Electronic)9781728117225
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019 - Xi'an, China
Duration: Oct 21 2019Oct 24 2019

Publication series

NameAPAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection

Conference

Conference8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019
Country/TerritoryChina
CityXi'an
Period10/21/1910/24/19

Keywords

  • AP algorithms
  • Monte Carlo Sampling
  • charging station
  • electric vehicle
  • layout
  • load forecasting

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