Economic planning of electric vehicle charging stations considering traffic constraints and load profile templates

Yue Xiang, Junyong Liu, Ran Li, Furong Li, Chenghong Gu, Shuoya Tang

Research output: Contribution to journalArticle

82 Citations (Scopus)
204 Downloads (Pure)


This paper develops a novel solution to integrate electric vehicles and optimally determine the siting and sizing of charging stations (CSs), considering the interactions between power and transportation industries. Firstly, the origin–destination (OD) traffic flow data is optimally assigned to the transportation network, which is then utilized to determine the capacity of charging stations. Secondly, the charging demand of charging infrastructures is integrated into a cost-based model to evaluate the economics of candidate plans. Furthermore, load capability constraints are proposed to evaluate whether the candidate CSs deployment and tie line plans could be adopted. Different scenarios generated by load profile templates are innovatively integrated into the economic planning model to deal with uncertain operational states. The models and framework are demonstrated and verified by a test case, which offers a perspective for effectively realizing optimal planning of the CSs considering the constraints from both transportation and distribution networks.

Original languageEnglish
Pages (from-to)647-659
Number of pages13
JournalApplied Energy
Early online date28 Jun 2016
Publication statusPublished - 15 Sep 2016



  • Electric vehicle charging stations
  • Load capability
  • Load profile templates
  • Planning
  • Traffic flow

Cite this