ARTÍCULO
TITULO

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

Jaume Jordán    
Javier Palanca    
Elena Del Val    
Vicente Julian and Vicente Botti    

Resumen

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.

 Artículos similares

       
 
Manuel PÉREZ-MORÍÑIGO,Víctor MERCHÁN-MONTERO,José Luis MARTÍN-PÉREZ     Pág. 5 - 12

 
Adrián VALERA-ROMÁN,Diego MATEOS-MATILLA,Eduardo OLIVA-RUBIO,Álvaro PAULE-PEREDA     Pág. 27 - 35

 
Álvaro MARTÍN,David TREJO,Alejandro YAGÜE,José SÁNCHEZ     Pág. 49 - 54

 
Oleksandr Milov,Serhii Yevseiev,Andrii Vlasov,Sergey Herasimov,Oleh Dmitriiev,Maksym Kasianenko,Hennady Pievtsov,Yevhen Peleshok,Yuliia Tkach,Serhii Faraon     Pág. 53 - 64
The results of the development of tools for scenario modeling based on formal grammars are presented. The works related to various ways of scenario description in their development systems are analyzed. For the natural language description of scenarios, ... ver más

 
Valentin Filatov, Valerii Semenets     Pág. 71 - 76
The subject matter of the study is the integration and management of information resources of distributed computing corporate systems within the common information space. The goal of the study is to develop scientifically based models for supporting inte... ver más