Optimal sizing of an electric vehicle charging station with integration of PV and energy storage

Guodong Liu; Madhu S. Chinthavali; Suman Debnath; Kevin Tomsovic

doi:10.1109/ISGT49243.2021.9372269

Optimal sizing of an electric vehicle charging station with integration of PV and energy storage

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Scopus citations

Abstract

This paper proposes an optimization model for the optimal configuration of an grid-connected electric vehicle (EV) extreme fast charging station considering integration of photovoltaic (PV) and energy storage. The proposed model minimizes the annualized net cost (i.e., maximizes the annualized net profit) of the extreme fast charging station, including investment and maintenance cost of charging ports, PV and energy storage, net cost of purchasing energy from utility and selling energy to EV customers, degradation cost of energy storage and demand charge. The decision variables are number of charging ports, capacity of invested PV and the power and energy ratings of invested energy storage. The Erlang-loss system is adopted to model the EV mobility. Results of numerical simulations indicate that investment of PV and energy storage could increase the annualized profit of the extreme fast charging station. In addition, the impacts of various parameters on the optimal solution are investigated by sensitivity analysis.

Original language	English
Title of host publication	2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728188973
DOIs	https://doi.org/10.1109/ISGT49243.2021.9372269
State	Published - Feb 16 2021
Event	2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021 - Washington, United States Duration: Feb 16 2021 → Feb 18 2021

Publication series

Name	2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021

Conference

Conference	2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
Country/Territory	United States
City	Washington
Period	02/16/21 → 02/18/21

Funding

This work is sponsored by the Laboratory Directed Research and Develop ment Progra m of Oak Ridge National Laboratory, managed by UT-Battelle, L L C, f or t he U. S. De part me nt of E ner g y. T his w or k als o ma de use of Engineering Research Center Shared Facilities supported by the Engineering Research Center Progra m of the National Science Foundation a n d t he De part me nt of E ner g y u n der N S F A war d N u m ber E E C-1 0 4 1 8 7 7 a n d the CURENTIndustry Partnership Program.

Keywords

Electric vehicle
Energy storage sizing
Optimal number of charging ports
PV sizing
Queuing model

Access to Document

10.1109/ISGT49243.2021.9372269

Cite this

Liu, G., Chinthavali, M. S., Debnath, S., & Tomsovic, K. (2021). Optimal sizing of an electric vehicle charging station with integration of PV and energy storage. In 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021 Article 9372269 (2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT49243.2021.9372269

Liu, Guodong ; Chinthavali, Madhu S. ; Debnath, Suman et al. / Optimal sizing of an electric vehicle charging station with integration of PV and energy storage. 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021).

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title = "Optimal sizing of an electric vehicle charging station with integration of PV and energy storage",

abstract = "This paper proposes an optimization model for the optimal configuration of an grid-connected electric vehicle (EV) extreme fast charging station considering integration of photovoltaic (PV) and energy storage. The proposed model minimizes the annualized net cost (i.e., maximizes the annualized net profit) of the extreme fast charging station, including investment and maintenance cost of charging ports, PV and energy storage, net cost of purchasing energy from utility and selling energy to EV customers, degradation cost of energy storage and demand charge. The decision variables are number of charging ports, capacity of invested PV and the power and energy ratings of invested energy storage. The Erlang-loss system is adopted to model the EV mobility. Results of numerical simulations indicate that investment of PV and energy storage could increase the annualized profit of the extreme fast charging station. In addition, the impacts of various parameters on the optimal solution are investigated by sensitivity analysis.",

keywords = "Electric vehicle, Energy storage sizing, Optimal number of charging ports, PV sizing, Queuing model",

author = "Guodong Liu and Chinthavali, \{Madhu S.\} and Suman Debnath and Kevin Tomsovic",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021 ; Conference date: 16-02-2021 Through 18-02-2021",

year = "2021",

month = feb,

day = "16",

doi = "10.1109/ISGT49243.2021.9372269",

language = "English",

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Liu, G , Chinthavali, MS , Debnath, S & Tomsovic, K 2021, Optimal sizing of an electric vehicle charging station with integration of PV and energy storage. in 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021., 9372269, 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021, Washington, United States, 02/16/21. https://doi.org/10.1109/ISGT49243.2021.9372269

Optimal sizing of an electric vehicle charging station with integration of PV and energy storage. / Liu, Guodong ; Chinthavali, Madhu S.; Debnath, Suman et al.
2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9372269 (2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Optimal sizing of an electric vehicle charging station with integration of PV and energy storage

AU - Liu, Guodong

AU - Chinthavali, Madhu S.

AU - Debnath, Suman

AU - Tomsovic, Kevin

PY - 2021/2/16

Y1 - 2021/2/16

N2 - This paper proposes an optimization model for the optimal configuration of an grid-connected electric vehicle (EV) extreme fast charging station considering integration of photovoltaic (PV) and energy storage. The proposed model minimizes the annualized net cost (i.e., maximizes the annualized net profit) of the extreme fast charging station, including investment and maintenance cost of charging ports, PV and energy storage, net cost of purchasing energy from utility and selling energy to EV customers, degradation cost of energy storage and demand charge. The decision variables are number of charging ports, capacity of invested PV and the power and energy ratings of invested energy storage. The Erlang-loss system is adopted to model the EV mobility. Results of numerical simulations indicate that investment of PV and energy storage could increase the annualized profit of the extreme fast charging station. In addition, the impacts of various parameters on the optimal solution are investigated by sensitivity analysis.

AB - This paper proposes an optimization model for the optimal configuration of an grid-connected electric vehicle (EV) extreme fast charging station considering integration of photovoltaic (PV) and energy storage. The proposed model minimizes the annualized net cost (i.e., maximizes the annualized net profit) of the extreme fast charging station, including investment and maintenance cost of charging ports, PV and energy storage, net cost of purchasing energy from utility and selling energy to EV customers, degradation cost of energy storage and demand charge. The decision variables are number of charging ports, capacity of invested PV and the power and energy ratings of invested energy storage. The Erlang-loss system is adopted to model the EV mobility. Results of numerical simulations indicate that investment of PV and energy storage could increase the annualized profit of the extreme fast charging station. In addition, the impacts of various parameters on the optimal solution are investigated by sensitivity analysis.

KW - Electric vehicle

KW - Energy storage sizing

KW - Optimal number of charging ports

KW - PV sizing

KW - Queuing model

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DO - 10.1109/ISGT49243.2021.9372269

M3 - Conference contribution

AN - SCOPUS:85103466081

T3 - 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021

BT - 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021

PB - Institute of Electrical and Electronics Engineers Inc.

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Liu G , Chinthavali MS , Debnath S, Tomsovic K. Optimal sizing of an electric vehicle charging station with integration of PV and energy storage. In 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9372269. (2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021). doi: 10.1109/ISGT49243.2021.9372269

Optimal sizing of an electric vehicle charging station with integration of PV and energy storage

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