|Affiliations:||Mathematical Institute of the Serbian Academy of Sciences and Arts||Title:||Multi-criteria Decision Methodology for the Optimization of Public Electric Vehicle Charging Infrastructure||First page:||283||Last page:||286||Conference:||The Sixth International Conference Transport and Logistics||Issue Date:||2017||Rank:||M33||Abstract:||
The growing interest for electric vehicles requires an efficient infrastructure for vehicle charging. The usual approach for the charging station optimal location is the minimization of trip costs with constraints concerning the public electricity network capacity. In this paper, the new – multi-criteria approach for the charging station location is presented. The optimization objectives include: minimization of walking distances from the charging station location, minimization of electric grid power losses, and the maximization of drivers comfort and security. The greedy heuristic and AHP methodology are used for the location optimization. The proposed methodology is tested on illustrative example.
|Keywords:||AHP | Electric vehicles | Greedy heuristic optimization | Median||Publisher:||University of Niš , Faculty of Mechanical Engineering, Department of Transport Engineering and Logistics||Project:||Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education|
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