A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations

نویسندگان

  • J. Jordán
  • J. Palanca
  • E. del Val
  • V. Julian
  • V. Botti
چکیده

One of the main current challenges of electric vehicles (EV) is to create a reliable, accessible 1 and comfortable charging infrastructure for the citizen that enhances the demand. In this paper, a 2 Multi-Agent System (MAS) is proposed to facilitate the analysis of different locating configurations 3 of EV charging stations. The proposed MAS integrates information from heterogeneous data sources 4 as a starting point to characterize the areas where charging stations could potentially be located. 5 Through a genetic algorithm, the MAS is able to analyze a large number of possible configurations 6 taking into account a set of criteria to be optimized. Finally, the MAS returns a configuration with 7 the areas of the city that are considered most appropriate for the establishment of a charging station 8 according to the specified criteria. 9

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تاریخ انتشار 2018