Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74789
Title: Optimal design of electric vehicle public charging system in an urban network for Greenhouse Gas Emission and cost minimization
Authors: Lee, J 
Madanat, S
Keywords: Convex system
Electric vehicle public fast charging stations allocation
Greenhouse Gas Emissions minimization
Optimization
Parsimonious model
Urban grid network
Issue Date: 2017
Publisher: Elsevier Ltd
Source: Transportation research. Part C, Emerging technologies, 2017, v. 85, p. 494-508 How to cite?
Journal: Transportation research. Part C, Emerging technologies 
Abstract: In this paper, we address the optimization problem of allocation of Electric Vehicle (EV) public fast charging stations over an urban grid network. The objective is to minimize Greenhouse Gas Emissions (GHG) under multiple constraints including a limited agency budget, accessibility of charging stations in every possible charging request and charging demands during peak hours. Additionally, we address bi-criteria problems to consider user costs as the second objective. A convex parsimonious model that depends on relatively few assumptions and input parameters is proposed and it is shown to be useful for obtaining conceptual insights for high-level planning. In a parametric study using a hypothetical urban network model generated based on realistic parameters, we show that GHG emissions decrease with agency budget, and that the reductions vary depending on multiple factors related to EV market and EV technologies. The optimal solutions found from the bi-criteria problems are shown to be close to the solution minimizing GHG emissions only, meaning that the emission minimizing policy can also minimize user costs.
URI: http://hdl.handle.net/10397/74789
ISSN: 0968-090X
DOI: 10.1016/j.trc.2017.10.008
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