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Appl. Sci. 2018, 8(2), 313; https://doi.org/10.3390/app8020313

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

Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
These authors contributed equally to this work.
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Received: 30 December 2017 / Revised: 2 February 2018 / Accepted: 14 February 2018 / Published: 23 February 2018
(This article belongs to the Special Issue Multi-Agent Systems)
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Abstract

One of the main current challenges of electric vehicles (EVs) is the creation of a reliable, accessible and comfortable charging infrastructure for citizens in order to enhance demand. In this paper, a multi-agent system (MAS) is proposed to facilitate the analysis of different placement configurations for EV charging stations. The proposed MAS integrates information from heterogeneous data sources as a starting point to characterize the areas where charging stations could potentially be placed. Through a genetic algorithm, the MAS is able to analyze a large number of possible configurations, taking into account a set of criteria to be optimized. Finally, the MAS returns a configuration with the areas of the city that are considered most appropriate for the establishment of charging stations according to the specified criteria. View Full-Text
Keywords: multi-agent systems; electric vehicles; charging stations; genetic algorithm multi-agent systems; electric vehicles; charging stations; genetic algorithm
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Jordán, J.; Palanca, J.; del Val, E.; Julian, V.; Botti, V. A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations. Appl. Sci. 2018, 8, 313.

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