• DocumentCode
    153980
  • Title

    Smart charging cell for smart cities

  • Author

    Lukovic, Slobodan ; Kaitovic, Igor

  • Author_Institution
    Fac. of Inf., ALaRI Univ. of Lugano, Lugano, Switzerland
  • fYear
    2014
  • fDate
    8-8 Oct. 2014
  • Firstpage
    26
  • Lastpage
    31
  • Abstract
    Energy consumption can be to some extent steered not only in time but in special cases in space as well. This mostly concerns electric vehicles (EV) charging. In this work we present conceptual solution of a `GeoGreen Cell´ developed in scope of an international project - Ge(o)Green. The main purpose of such an aggregation is to efficiently coordinate. EV charging with respect to price of energy both in time and space. Even though massive acceptance of EVs seems far, there is an emerging need for conceptual solutions and reference models of solutions for their seamless integration into energy system in particular in urban areas. In fact, system level models of the supporting ICT architecture, including structural and behavioral ones, have been developed. The models have been verified by means of simulations to assure their correctness. Scheduling optimization algorithms have been created and the system has been validated by means of system-level simulations.
  • Keywords
    electric vehicles; power engineering computing; EV charging; GeoGreen Cell; ICT architecture; electric vehicles charging; scheduling optimization algorithms; smart charging cell; smart cities; Computer architecture; Modeling; Power system stability; Production; Smart grids; Unified modeling language; Vehicles; SyML; aggegation; charging; structural and behavioral models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Energy Systems (IWIES), 2014 IEEE International Workshop on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/IWIES.2014.6957042
  • Filename
    6957042