Optimization models for placement of an energy-aware electric vehicle charging infrastructure

Zonggen Yi and Peter H. Bauer

Transportation Research Part E: Logistics and Transportation Review, 2016, vol. 91, issue C, 227-244

Abstract: This paper addresses the problem of optimally placing charging stations in urban areas. Two optimization criteria are used: maximizing the number of reachable households and minimizing overall e-transportation energy cost. The decision making models used for both cases are mixed integer programming with linear and nonlinear energy-aware constraints. A multi-objective optimization model that handles both criteria (number of reachable households and transportation energy) simultaneously is also presented. A number of simulation results are provided for two different cities in order to illustrate the proposed methods. Among other insights, these results show that the multi-objective optimization provides improved placement results.

Keywords: Charging infrastructure placement; Electric vehicles; Energy-aware optimization models; Multi-objective optimization (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (14)

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DOI: 10.1016/j.tre.2016.04.013

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