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Optimal Sizing of PV and Energy Storage in an Electric Vehicle Extreme Fast Charging Station...

by Guodong Liu, Yaosuo Xue, Madhu Sudhan Chinthavali, Kevin Tomsovic
Publication Type
Conference Paper
Book Title
The 2020 IEEE PES ISGT NA Proceedings
Publication Date
Page Numbers
1 to 5
Conference Name
IEEE Power & Energy Society (PES) Innovative Smart Grid Technologies (ISGT 2020)
Conference Location
Washington D. C., District of Columbia, United States of America
Conference Sponsor
IEEE
Conference Date
-

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.