Abstract
In this paper we present a two-step approach for the design of a system of Plug-in Hybrid Electric Vehicle (PHEV) charging stations. Our approach consists of a simulation model and a mathematical model. The simulation model formulates the charging station’s ability to meet charging demand by using discrete event simulation. The mathematical model formulates the design decisions made when designing the charging stations, i.e. locations and configurations of charging stations, using the compromise Decision Support Problem (cDSP). Waiting time, service time, number of slots (chargers) and demand are key inputs for the simulation model. Output of the simulation model, which is the service level of the charging stations, is used as an input for the mathematical model. By compromising between maximizing the service level, maximizing the demand coverage, minimizing the installation cost for slots and minimizing distance between charging stations and demand nodes, design decisions are taken in the mathematical model. Our focus in this paper is on the method which is widely applicable. However the approach is presented and evaluated for a data set from Dallas County, Texas.
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