Electric vehicle charging simulation framework considering traffic, user, and power grid

Weicheng Liu; Xujiang Shi; Jianfeng Zhao; Xiao-ping Zhang; Ying Xue

doi:10.35833/MPCE.2020.000208

Electric vehicle charging simulation framework considering traffic, user, and power grid

Weicheng Liu, Xujiang Shi, Jianfeng Zhao, Xiao-ping Zhang, Ying Xue

Research output: Contribution to journal › Article › peer-review

193 Downloads (Pure)

Abstract

The traffic and user have significant impacts on the electric vehicle (EV) charging load but are not considered in the existing research. We propose a novel integrated simulation framework considering the traffic, the user, and power grid as well as the EV traveling, parking and charging based on cellular automaton (CA). The traffic is modeled by the traffic module of the proposed framework based on CA, while the power grid and user are modeled in the EV charging module. The traffic flow, user's charging preference, user's charging satisfaction, and the total supply capability (TSC) in the surveyed region are considered in the proposed framework. Two cases are carried out to show the interactions between the user and power grid. It is shown that the proposed framework can accurately simulate the interactions among traffic situation, user's behavior and TSC, which are significantly lacking in the existing research. The proposed framework is scalable in considering additional interrelated elements.

Original language	English
Article number	9282060
Pages (from-to)	602-611
Number of pages	10
Journal	Journal of Modern Power Systems and Clean Energy
Volume	9
Issue number	3
Early online date	19 Nov 2020
DOIs	https://doi.org/10.35833/MPCE.2020.000208
Publication status	Published - May 2021

Bibliographical note

Funding Information:
Manuscript received: April 1, 2020; accepted: August 12, 2020. Date of Cross‐ Check: August 12, 2020. Date of online publication: November 19, 2020. This work was supported by the National Natural Science Foundation of Chi‐ na (No. 51936003). This article is distributed under the terms of the Creative Commons Attribu‐ tion 4.0 International License (http://creativecommons.org/licenses/by/4.0/). W. Liu, X. Shi, and J. Zhao are with the School of Electrical Engineering, Southeast University, Nanjing 210096, China (e-mail: 220182666@seu. edu. cn; [email protected]; jianfeng\[email protected]). X. Zhang and Y. Xue (corresponding author) are with the Department of Elec‐ tronic, Electrical and System Engineering, School of Engineering, University of Birmingham, Birmingham, UK (e-mail: X. P. Zhang@bham. ac. uk; [email protected]). DOI: 10.35833/MPCE.2020.000208

Publisher Copyright:
© 2013 State Grid Electric Power Research Institute.

Keywords

Electric vehicle (EV)
cellular automaton
integrated simulation framework
power grid
traffic
user

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.35833/MPCE.2020.000208Licence: Creative Commons: Attribution (CC BY)

LiuW2020ElectricFinal published version, 1.59 MBLicence: Creative Commons: Attribution (CC BY)

Cite this

@article{014b9d3b97204904839e1ed191e71546,

title = "Electric vehicle charging simulation framework considering traffic, user, and power grid",

abstract = "The traffic and user have significant impacts on the electric vehicle (EV) charging load but are not considered in the existing research. We propose a novel integrated simulation framework considering the traffic, the user, and power grid as well as the EV traveling, parking and charging based on cellular automaton (CA). The traffic is modeled by the traffic module of the proposed framework based on CA, while the power grid and user are modeled in the EV charging module. The traffic flow, user's charging preference, user's charging satisfaction, and the total supply capability (TSC) in the surveyed region are considered in the proposed framework. Two cases are carried out to show the interactions between the user and power grid. It is shown that the proposed framework can accurately simulate the interactions among traffic situation, user's behavior and TSC, which are significantly lacking in the existing research. The proposed framework is scalable in considering additional interrelated elements.",

keywords = "Electric vehicle (EV), cellular automaton, integrated simulation framework, power grid, traffic, user",

author = "Weicheng Liu and Xujiang Shi and Jianfeng Zhao and Xiao-ping Zhang and Ying Xue",

note = "Funding Information: Manuscript received: April 1, 2020; accepted: August 12, 2020. Date of Cross‐ Check: August 12, 2020. Date of online publication: November 19, 2020. This work was supported by the National Natural Science Foundation of Chi‐ na (No. 51936003). This article is distributed under the terms of the Creative Commons Attribu‐ tion 4.0 International License (http://creativecommons.org/licenses/by/4.0/). W. Liu, X. Shi, and J. Zhao are with the School of Electrical Engineering, Southeast University, Nanjing 210096, China (e-mail: 220182666@seu. edu. cn; [email protected]; jianfeng\[email protected]). X. Zhang and Y. Xue (corresponding author) are with the Department of Elec‐ tronic, Electrical and System Engineering, School of Engineering, University of Birmingham, Birmingham, UK (e-mail: X. P. Zhang@bham. ac. uk; [email protected]). DOI: 10.35833/MPCE.2020.000208 Publisher Copyright: {\textcopyright} 2013 State Grid Electric Power Research Institute.",

year = "2021",

month = may,

doi = "10.35833/MPCE.2020.000208",

language = "English",

volume = "9",

pages = "602--611",

journal = "Journal of Modern Power Systems and Clean Energy",

issn = "2196-5625",

publisher = "Springer",

number = "3",

}

TY - JOUR

T1 - Electric vehicle charging simulation framework considering traffic, user, and power grid

AU - Liu, Weicheng

AU - Shi, Xujiang

AU - Zhao, Jianfeng

AU - Zhang, Xiao-ping

AU - Xue, Ying

N1 - Funding Information: Manuscript received: April 1, 2020; accepted: August 12, 2020. Date of Cross‐ Check: August 12, 2020. Date of online publication: November 19, 2020. This work was supported by the National Natural Science Foundation of Chi‐ na (No. 51936003). This article is distributed under the terms of the Creative Commons Attribu‐ tion 4.0 International License (http://creativecommons.org/licenses/by/4.0/). W. Liu, X. Shi, and J. Zhao are with the School of Electrical Engineering, Southeast University, Nanjing 210096, China (e-mail: 220182666@seu. edu. cn; [email protected]; jianfeng\[email protected]). X. Zhang and Y. Xue (corresponding author) are with the Department of Elec‐ tronic, Electrical and System Engineering, School of Engineering, University of Birmingham, Birmingham, UK (e-mail: X. P. Zhang@bham. ac. uk; [email protected]). DOI: 10.35833/MPCE.2020.000208 Publisher Copyright: © 2013 State Grid Electric Power Research Institute.

PY - 2021/5

Y1 - 2021/5

N2 - The traffic and user have significant impacts on the electric vehicle (EV) charging load but are not considered in the existing research. We propose a novel integrated simulation framework considering the traffic, the user, and power grid as well as the EV traveling, parking and charging based on cellular automaton (CA). The traffic is modeled by the traffic module of the proposed framework based on CA, while the power grid and user are modeled in the EV charging module. The traffic flow, user's charging preference, user's charging satisfaction, and the total supply capability (TSC) in the surveyed region are considered in the proposed framework. Two cases are carried out to show the interactions between the user and power grid. It is shown that the proposed framework can accurately simulate the interactions among traffic situation, user's behavior and TSC, which are significantly lacking in the existing research. The proposed framework is scalable in considering additional interrelated elements.

AB - The traffic and user have significant impacts on the electric vehicle (EV) charging load but are not considered in the existing research. We propose a novel integrated simulation framework considering the traffic, the user, and power grid as well as the EV traveling, parking and charging based on cellular automaton (CA). The traffic is modeled by the traffic module of the proposed framework based on CA, while the power grid and user are modeled in the EV charging module. The traffic flow, user's charging preference, user's charging satisfaction, and the total supply capability (TSC) in the surveyed region are considered in the proposed framework. Two cases are carried out to show the interactions between the user and power grid. It is shown that the proposed framework can accurately simulate the interactions among traffic situation, user's behavior and TSC, which are significantly lacking in the existing research. The proposed framework is scalable in considering additional interrelated elements.

KW - Electric vehicle (EV)

KW - cellular automaton

KW - integrated simulation framework

KW - power grid

KW - traffic

KW - user

UR - http://www.scopus.com/inward/record.url?scp=85106463512&partnerID=8YFLogxK

U2 - 10.35833/MPCE.2020.000208

DO - 10.35833/MPCE.2020.000208

M3 - Article

SN - 2196-5625

VL - 9

SP - 602

EP - 611

JO - Journal of Modern Power Systems and Clean Energy

JF - Journal of Modern Power Systems and Clean Energy

IS - 3

M1 - 9282060

ER -

Electric vehicle charging simulation framework considering traffic, user, and power grid

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this