Optimal Sizing of an Electric Vehicle Charging Station with Integration of PV and Energy Storage

Conference · Mon Feb 01 00:00:00 EST 2021

OSTI ID:1775230

Liu, Guodong  ^[1]; Chinthavali, Madhu Sudhan  ^[1]; Debnath, Suman  ^[1]; Tomsovic, Kevin ^[2]

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1. ORNL
2. University of Tennessee, Knoxville (UTK)

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1775230
• Resource Relation: Conference: 2021 IEEE PES Innovative Smart Grid Technologies Conference (ISGT) - Washington DC, District of Columbia, United States of America - 2/15/2021 5:00:00 AM-2/18/2021 5:00:00 AM
• Country of Publication: United States
• Language: English