• DocumentCode
    2132576
  • Title

    Stochastic aggregated battery for vehicle to building applications

  • Author

    Gamallo, Carlos ; Fraile-Ardanuy, Jesús

  • Author_Institution
    MAT Dept., Univ. Politec. de Madrid, Madrid, Spain
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    749
  • Lastpage
    754
  • Abstract
    Plug in hybrid vehicles and electric vehicles can be used to minimize the total electricity cost of buildings when they are parked during the working hours. In this paper a new business model is proposed and, in particular, the design of a stochastic aggregated battery for vehicle to building applications is explained. The main function of this block is to manage an heterogeneous park of connected batteries, respecting all the individual constraints for each, and at the same time, offering to the building the closest possible approximation to the total power demand, at a minimum cost. This optimization is based on genetic algorithms. Preliminary results show that it is possible to share the energy storage capacity among all connected vehicles, allowing the module operator to obtain a markup.
  • Keywords
    approximation theory; battery powered vehicles; building management systems; hybrid electric vehicles; building applications; electric vehicles; electricity cost; energy storage capacity; heterogeneous park; hybrid vehicles; stochastic aggregated battery; total power demand approximation; Batteries; Buildings; Electricity; Optimization; Power demand; System-on-a-chip; Vehicles; electric vehicle; genetic algorithm; optimization; vehicle to building;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-4673-1453-4
  • Type

    conf

  • DOI
    10.1109/EnergyCon.2012.6348250
  • Filename
    6348250