• DocumentCode
    1671138
  • Title

    Capacity management of vehicle-to-grid system for power regulation services

  • Author

    Lam, Albert Y. S. ; Ka-Cheong Leung ; Li, Victor O. K.

  • Author_Institution
    Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon, China
  • fYear
    2012
  • Firstpage
    442
  • Lastpage
    447
  • Abstract
    Due to green initiatives adopted in many countries, renewable energy will be massively incorporated into the future smart grid. However, the intermittency of the renewables may result in power imbalance, thus adversely affecting the stability of a power system. Voltage regulation may be used to maintain the power balance at all times. As electric vehicles (EVs) become popular, they may be connected to the grid to form a vehicle-to-grid (V2G) system. An aggregation of EVs can be coordinated to provide voltage regulation services. However, V2G is a dynamic system where EVs are connected to the grid according to the owners´ habits. In this paper, we model an aggregation of EVs with a queueing network, whose structure allows us to estimate the capacities for regulation up and regulation down, separately. The estimated capacities from the V2G system can be used for establishing a regulation contract between an aggregator and the grid operator, and facilitate a new business model for V2G.
  • Keywords
    electric vehicles; power control; power system control; power system management; power system stability; renewable energy sources; smart power grids; voltage control; EV; V2G system; aggregation model; business model; capacity estimation; capacity management; electric vehicle; power imbalance; power regulation service; power system stability; queueing network; renewable energy; smart grid; vehicle-to-grid system; voltage regulation; Analytical models; Batteries; Contracts; Power generation; Steady-state; System-on-chip; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4673-0910-3
  • Electronic_ISBN
    978-1-4673-0909-7
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2012.6486024
  • Filename
    6486024