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

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 configurati...

Full description

Saved in:
Bibliographic Details
Published inApplied sciences Vol. 8; no. 2; p. 313
Main Authors Jordán, Jaume, Palanca, Javier, del Val, Elena, Julian, Vicente, Botti, Vicente
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 23.02.2018
Subjects
Automobile rentals
charging stations
Configurations
Electric vehicles
genetic algorithm
Genetic algorithms
multi-agent systems
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app8020313