Paper Info
Title
Allocation of charging stations in an electric vehicle network using simulation optimization.
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.
Year
DOI
Venue
2014
10.5555/2693848.2693989
WSC '14: Winter Simulation Conference Savannah Georgia December, 2014
Keywords
Field
DocType
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
Software deployment,Electric vehicle,Simulation,Computer science,Traffic model,Energy consumption,Sustainability,Discrete event simulation
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-4673-9741-4
2
PageRank 
References 
Authors
0.43
7
3
Name
Order
Citations
PageRank
Mariana T. Sebastiani180.95
Ricardo Lüders2247.23
Keiko V. Ono Fonseca3127.48