Optimal Trading Volume of Electricity and Capacity of Energy Storage System for Electric Vehicle Charging Station Integrated with Photovoltaic Generator

Yong Woo Jeong, Kyung-Chang Lee, Chunghun Kim () and Woo Young Choi ()
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Yong Woo Jeong: Smart Robot Convergence Application Research Center, Pukyong National University, Busan 48513, Republic of Korea
Kyung-Chang Lee: Department of Intelligent Robot Engineering, Pukyong National University, Busan 48513, Republic of Korea
Chunghun Kim: Department of AI Electrical Engineering, Pai Chai University, Daejeon 35345, Republic of Korea
Woo Young Choi: Department of Control and Instrumentation Engineering, Pukyong National University, Busan 48513, Republic of Korea

Energies, 2024, vol. 17, issue 4, 1-20

Abstract: As penetration of EVs in the transportation sector is increasing, the demand for the mandatory installation of charging infrastructure also is increasing. In addition, renewable energy and energy storage systems (ESSs) are being reviewed for use in electric vehicle charging stations (EVCSs). In this paper, we present an optimal electricity trading volume and an optimal installation capacity of ESSs to maximize the daily profit of the EVCSs equipped with solar power generation when the EVCSs are licensed to sell energy to the power supplier during a specific time period. By formulating and solving the optimization problem of the EVCSs, this paper analyzes validation results for the different useful lives of ESSs, the peak power of a PV generator, and weather conditions at the Yangjae Solar Station and the Suseo Station public parking lot, Seoul, Republic of Korea. Furthermore, this paper validates that the daily expected profit of EVCSs with the proposed method outperforms the profit of conventional EVCSs which do not utilize ESSs.

Keywords: optimization; electric vehicle charging stations; energy storage system; photovoltaic generator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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