作者: Zonggen Yi , Peter H. Bauer
DOI: 10.1016/J.TRE.2016.04.013
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摘要: This paper addresses the problem of optimally placing charging stations in urban areas. Two optimization criteria are used: maximizing number reachable households and minimizing overall e-transportation energy cost. The decision making models used for both cases mixed integer programming with linear nonlinear energy-aware constraints. A multi-objective model that handles (number transportation energy) simultaneously is also presented. simulation results provided two different cities order to illustrate proposed methods. Among other insights, these show provides improved placement results.