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Revenue Maximizing Scheduling for a Fast Electric Vehicle Charging Station with Solar PV and ESS

  • Leon, Nishimwe H. (Department of Electrical Engineering, Soongsil University) ;
  • Yoon, Sung-Guk (Department of Electrical Engineering, Soongsil University)
  • Received : 2020.04.23
  • Accepted : 2020.07.21
  • Published : 2020.09.30

Abstract

The modern transportation and mobility sector is expected to encounter high penetration of Electric Vehicles (EVs) because EVs contribute to reducing the harmful emissions from fossil fuel-powered vehicles. With the prospective growth of EVs, sufficient and convenient facilities for fast charging are crucial toward satisfying the EVs' quick charging demand during their trip. Therefore, the Fast Electric Vehicle Charging Stations (FECS) will be a similar role to gas stations. In this paper, we study a charging scheduling problem for the FECS with solar photovoltaic (PV) and an Energy Storage System (ESS). We formulate an optimization problem that minimizes the operational costs of FECS. There are two cost and one revenue terms that are buying cost from main grid power, ESS degradation cost, and revenue from the charging fee of the EVs. Simulation results show that the proposed scheduling algorithm reduces the daily operational cost by effectively using solar PV and ESS.

Keywords

References

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