Simulation–optimization model for location of a public electric vehicle charging infrastructure

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Simulation–optimization model for location of a public electric vehicle charging infrastructure

Xi, Xiaomin / Sioshansi, Ramteen / Marano, Vincenzo

Highlights ► A simulation optimization model determines the optimal location of slow refueling infrastructure, such as electric vehicle chargers. ► A case study based on the central-Ohio region demonstrates the model and its findings. ► Sensitivity analyses demonstrate the effect of vehicle charging decisions on the location of stations and validate modeling assumptions.

Abstract The paper develops a simulation–optimization model that determines where to locate electric vehicle chargers to maximize their use by privately owned electric vehicles. Applying this model to the central-Ohio region, we demonstrate that a combination of level-one and -two chargers is preferable to level-two chargers only. We further explore interactions between the optimization criterion used and the budget available. We finally show that although the optimal location is sensitive to the specific optimization criterion considered, overall service levels are less sensitive to the optimization strategy.