Optimal sizing of PV and energy storage in an electric vehicle extreme fast charging station

Guodong Liu; Yaosuo Xue; Madhu S. Chinthavali; Kevin Tomsovic

doi:10.1109/ISGT45199.2020.9087792

Optimal sizing of PV and energy storage in an electric vehicle extreme fast charging station

Guodong Liu, Yaosuo Xue, Madhu S. Chinthavali, Kevin Tomsovic

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

21 Scopus citations

Abstract

This paper proposes an optimization model for the optimal sizing of photovoltaic (PV) and energy storage in an electric vehicle extreme fast charging station considering the coordinated charging strategy of the electric vehicles. The proposed model minimizes the annualized cost of the extreme fast charging station, including investment and maintenance cost of PV and energy storage, cost of purchasing energy from utility and demand charge. The decision variables are capacity of invested PV and the power and energy ratings of invested energy storage. To further reduce the annualized cost of the extreme fast charging station, the charging strategy of electric vehicles are integrated into the optimization model and coordinated with the power output of PV and charging/discharging of energy storage. Results of numerical simulations indicate that investment of PV and energy storage could help reduce the annualized cost of the extreme fast charging station significantly. Meanwhile, the impacts of various parameters on the optimal solution are investigated by sensitivity analysis.

Original language	English
Title of host publication	2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728131030
DOIs	https://doi.org/10.1109/ISGT45199.2020.9087792
State	Published - Feb 2020
Event	2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 - Washington, United States Duration: Feb 17 2020 → Feb 20 2020

Publication series

Name	2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020

Conference

Conference	2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Country/Territory	United States
City	Washington
Period	02/17/20 → 02/20/20

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
National Science Foundation	EEC-1041877
U.S. Department of Energy

Keywords

Charging station
Coordinated charging strategy
Electric vehicle
Energy storage sizing
PV sizing

UN SDGs

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

Access to Document

10.1109/ISGT45199.2020.9087792

Cite this

Liu, G., Xue, Y., Chinthavali, M. S., & Tomsovic, K. (2020). Optimal sizing of PV and energy storage in an electric vehicle extreme fast charging station. In 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 Article 9087792 (2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT45199.2020.9087792

Liu, Guodong ; Xue, Yaosuo ; Chinthavali, Madhu S. et al. / Optimal sizing of PV and energy storage in an electric vehicle extreme fast charging station. 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020).

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abstract = "This paper proposes an optimization model for the optimal sizing of photovoltaic (PV) and energy storage in an electric vehicle extreme fast charging station considering the coordinated charging strategy of the electric vehicles. The proposed model minimizes the annualized cost of the extreme fast charging station, including investment and maintenance cost of PV and energy storage, cost of purchasing energy from utility and demand charge. The decision variables are capacity of invested PV and the power and energy ratings of invested energy storage. To further reduce the annualized cost of the extreme fast charging station, the charging strategy of electric vehicles are integrated into the optimization model and coordinated with the power output of PV and charging/discharging of energy storage. Results of numerical simulations indicate that investment of PV and energy storage could help reduce the annualized cost of the extreme fast charging station significantly. Meanwhile, the impacts of various parameters on the optimal solution are investigated by sensitivity analysis.",

keywords = "Charging station, Coordinated charging strategy, Electric vehicle, Energy storage sizing, PV sizing",

author = "Guodong Liu and Yaosuo Xue and Chinthavali, {Madhu S.} and Kevin Tomsovic",

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doi = "10.1109/ISGT45199.2020.9087792",

language = "English",

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Liu, G , Xue, Y , Chinthavali, MS & Tomsovic, K 2020, Optimal sizing of PV and energy storage in an electric vehicle extreme fast charging station. in 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020., 9087792, 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020, Washington, United States, 02/17/20. https://doi.org/10.1109/ISGT45199.2020.9087792

Optimal sizing of PV and energy storage in an electric vehicle extreme fast charging station. / Liu, Guodong ; Xue, Yaosuo ; Chinthavali, Madhu S. et al.
2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9087792 (2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020).

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

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N2 - This paper proposes an optimization model for the optimal sizing of photovoltaic (PV) and energy storage in an electric vehicle extreme fast charging station considering the coordinated charging strategy of the electric vehicles. The proposed model minimizes the annualized cost of the extreme fast charging station, including investment and maintenance cost of PV and energy storage, cost of purchasing energy from utility and demand charge. The decision variables are capacity of invested PV and the power and energy ratings of invested energy storage. To further reduce the annualized cost of the extreme fast charging station, the charging strategy of electric vehicles are integrated into the optimization model and coordinated with the power output of PV and charging/discharging of energy storage. Results of numerical simulations indicate that investment of PV and energy storage could help reduce the annualized cost of the extreme fast charging station significantly. Meanwhile, the impacts of various parameters on the optimal solution are investigated by sensitivity analysis.

AB - This paper proposes an optimization model for the optimal sizing of photovoltaic (PV) and energy storage in an electric vehicle extreme fast charging station considering the coordinated charging strategy of the electric vehicles. The proposed model minimizes the annualized cost of the extreme fast charging station, including investment and maintenance cost of PV and energy storage, cost of purchasing energy from utility and demand charge. The decision variables are capacity of invested PV and the power and energy ratings of invested energy storage. To further reduce the annualized cost of the extreme fast charging station, the charging strategy of electric vehicles are integrated into the optimization model and coordinated with the power output of PV and charging/discharging of energy storage. Results of numerical simulations indicate that investment of PV and energy storage could help reduce the annualized cost of the extreme fast charging station significantly. Meanwhile, the impacts of various parameters on the optimal solution are investigated by sensitivity analysis.

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Liu G , Xue Y , Chinthavali MS, Tomsovic K. Optimal sizing of PV and energy storage in an electric vehicle extreme fast charging station. In 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9087792. (2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020). doi: 10.1109/ISGT45199.2020.9087792

Optimal sizing of PV and energy storage in an electric vehicle extreme fast charging station

Abstract

Publication series

Conference

Funding

Keywords

UN SDGs

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