• DocumentCode
    1946107
  • Title

    Generalized microgrid-to-smart grid interface models for vehicle-to-grid

  • Author

    Battistelli, C.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • fYear
    2013
  • fDate
    24-27 Feb. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This work presents a systemic method to address the integration of electric vehicle (EV) services in electricity distribution areas. Unidirectional vehicle-to-grid (V2G) is considered as the first feasible step in exploiting the EVs potential to provide energy services for the grid, because it necessitates of fewer infrastructures and gives lower stress to EV batteries. The implementation of unidirectional V2G requires the application of smart grid (SG) features in distribution networks with local micro-generation units, which involves dealing with the microgrid (MG) concept. In this respect, a generalized model is proposed to facilitate the definition of the possible modes of V2G interaction with both the other domains of the MG and the SG interface. An application of the methodology is proposed for the energy trading in short-time markets. In this case, the participation of V2G is addressed via optimization-based modeling where the different EV service attributes are considered by indices.
  • Keywords
    battery powered vehicles; distributed power generation; distribution networks; optimisation; smart power grids; EV batteries; EV services; V2G interaction; distribution networks; electric vehicle services; electricity distribution areas; energy services; generalized microgrid-to-smart grid interface models; local microgeneration units; optimization-based modeling; vehicle-to-grid interaction; Batteries; Biological system modeling; Economics; Electricity; Load modeling; Mathematical model; Optimization; Energy trading; Microgrid; Smart Grid; Smart User Grid; Vehicle-to-Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4673-4894-2
  • Electronic_ISBN
    978-1-4673-4895-9
  • Type

    conf

  • DOI
    10.1109/ISGT.2013.6497891
  • Filename
    6497891