• DocumentCode
    239172
  • Title

    Allocation of charging stations in an electric vehicle network using simulation optimization

  • Author

    Sebastiani, Mariana T. ; Luders, Ricardo ; Fonseca, Keiko Veronica O.

  • Author_Institution
    CPGEI/DAINF, Univ. Tecnol. Fed. do Parana, Curitiba, Brazil
  • fYear
    2014
  • fDate
    7-10 Dec. 2014
  • Firstpage
    1073
  • Lastpage
    1083
  • Abstract
    Growing concerns with environmental issues have led to the consideration of alternatives to urban mobility. Among available options, electric vehicles have been considered in advantage in terms of sustainability as well as emission of pollutants. This work presents an optimized solution to allocate electric charging stations based on a simplified traffic model for urban mobility and vehicles´ energy consumption. It is particularly interesting for prototypes and initial studies on deploying charging stations. A discrete event simulation is built in Arena and an optimization is implemented with OptQuest package. The simulation model considers stochastic information whose characterization is difficult to obtain for particular cases. The results show that there are several variables that can be correctly determined to avoid prohibitive costs in the deployment of charging stations.
  • Keywords
    discrete event simulation; electric vehicles; energy consumption; optimisation; pollution control; sustainable development; traffic engineering computing; Arena; OptQuest package; charging stations allocation; discrete event simulation; electric charging stations; electric vehicle network; environmental issues; pollutant emission; prohibitive costs; simplified traffic model; simulation optimization; stochastic information; urban mobility; vehicles energy consumption; Batteries; Biological system modeling; Charging stations; Electric vehicles; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2014 Winter
  • Conference_Location
    Savanah, GA
  • Print_ISBN
    978-1-4799-7484-9
  • Type

    conf

  • DOI
    10.1109/WSC.2014.7019966
  • Filename
    7019966