Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem

计算机科学 运输工程 集合(抽象数据类型) 网络规划与设计 多准则决策分析 运筹学 工程类 计算机网络 程序设计语言
作者
Mikołaj Schmidt,Paweł Żmuda-Trzebiatowski,Marcin Kiciński,Piotr Sawicki,Konrad Lasak
出处
期刊:Energies [Multidisciplinary Digital Publishing Institute]
卷期号:14 (11): 3214-3214 被引量:35
标识
DOI:10.3390/en14113214
摘要

The article presents the issue of designing a network of electric vehicle charging stations (EVCSs) for servicing passenger and commercial vehicles and taking into account the already existing locations. The authors propose a five-stage multicriteria- and GIS-based EVCS location methodology (5MAGISEV) for designing the EVCS network that includes defining potential EVCS locations (stage 1), constructing a family of evaluation criteria (stage 2), generating alternatives (stage 3), selecting an appropriate multiple criteria decision aid method (stage 4) and conducting a multicriteria evaluation of alternatives (stage 5). The methodology was verified by its experimental application for solving the problem of EVCS location in Poznan, Poland. As a result of its application, a set of over 155,000 alternatives was generated in view of different EVCS location determination policies. A family of eight criteria with subcriteria was proposed to assess the solutions, including the evaluation of the degree of integration of the considered EVCSs with such issues as public transport (C1); urbanized areas (C2); main road network (C3); industrial areas (C4); and the location with respect to transport areas (C5), shops of various types (C6), address points (C7) and DYI stores (C8). Based on the selected method of multiple criteria decision aid (LBS), a solution was selected that constitutes a compromise design of the EVCS network.
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