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


Reference:

Xiang, Y., Liu, J., Li, R., Li, F., Gu, C. and Tang, S., 2016. Economic planning of electric vehicle charging stations considering traffic constraints and load profile templates. Applied Energy, 178, pp. 647-659.

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    Official URL:

    http://dx.doi.org/10.1016/j.apenergy.2016.06.021

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    Abstract

    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.

    Details

    Item Type Articles
    CreatorsXiang, Y., Liu, J., Li, R., Li, F., Gu, C. and Tang, S.
    DOI10.1016/j.apenergy.2016.06.021
    Related URLs
    URLURL Type
    http://www.scopus.com/inward/record.url?scp=84976351329&partnerID=8YFLogxKUNSPECIFIED
    Uncontrolled Keywordselectric vehicle charging stations,load capability,load profile templates,planning,traffic flow
    DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
    RefereedYes
    StatusPublished
    ID Code51384

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