• DocumentCode
    3733717
  • Title

    Optimal electric vehicle scheduling in smart home with V2H/V2G regulation

  • Author

    Dalong Guo;Peizhong Yi;Chi Zhou;Jia Wang

  • Author_Institution
    Electrical and Computer Engineering Department, Illinois Institute of Technology, Chicago, IL, USA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The popularity of electric vehicle (EV) provides both challenges and opportunities. Although EV increases the load pressure to the grid, it can also serve as the potential storage to facilitate the demand response for residential customers. In this paper, we propose an optimal and automatic scheduling scheme to exploit the benefits of EV not only from residential side but also from utility companies. Specifically we consider that the EVs can achieve a two-way discharging, either supply the power usage of its house (i.e., V2H) when the electric price is high or sell back to the Grid (i.e., V2G) if the market price is more attractive. The objective is to minimize the total cost, including electricity expenditure and storage depreciation cost, while satisfying various practical constraints. Simulation results show our proposed scheme can not only lower the cost but also share part of the pressure from utility companies.
  • Keywords
    "Smart homes","Batteries","Optimal scheduling","Load management","Electric vehicles","Companies"
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative
  • Electronic_ISBN
    2378-8542
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2015.7387135
  • Filename
    7387135