Using Genetic Algorithms to Optimize the Location of Electric Vehicle Charging Stations

被引：11
|
作者：
Jordan, Jaume [1 ]
Palanca, Javier [1 ]
del Val, Elena [1 ]
Julian, Vicente [1 ]
Botti, Vicente [1 ]
机构：
[1] Univ Politecn Valencia, Camino Vera S-N, Valencia, Spain
来源：
INTERNATIONAL JOINT CONFERENCE SOCO'18-CISIS'18- ICEUTE'18 | 2019年 / 771卷
关键词：
Multi-Agent Systems; Electric Vehicles; Charging stations; Genetic Algorithms; INFRASTRUCTURE; DESIGN;
D O I：
10.1007/978-3-319-94120-2_2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The creation of a suitable charging infrastructure for electric vehicles (EV) is one of the main challenges to increase the adoption of this new vehicle technologies. In this article, we present a Multi-Agent System (MAS) that performs an analysis of a set of possible configurations for the location of EV charging stations in a city. To estimate the best configurations, the proposed MAS considers data from heterogeneous sources such as traffic, social networks, population, etc. Based on this information, the agents are able to analyze a large set of configurations using a genetic algorithm that optimizes the configurations taking into account a utility function.
引用
收藏
页码：11 / 20
页数：10
相关论文
共 50 条
  • [1] Optimal Location of Electric Vehicle Charging Stations in Distribution Grids Using Genetic Algorithms
    Gomes, Eduardo
    Cerveira, Adelaide
    Baptista, Jose
    [J]. OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, PT I, OL2A 2023, 2024, 1981 : 560 - 574
  • [2] Optimal Location of Electric Vehicle Charging Stations Using Genetic Algorithm
    Chen, Shuangshuang
    Shi, Yue
    Chen, Xingyu
    Qi, Feng
    [J]. 2015 17TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM APNOMS, 2015, : 372 - 375
  • [3] Efficient Heuristic Algorithms for Location of Charging Stations in Electric Vehicle Routing Problems
    Gatica, Gustavo
    Ahumada, Gerardo
    Willmer Escobar, John
    Linfati, Rodrigo
    [J]. STUDIES IN INFORMATICS AND CONTROL, 2018, 27 (01): : 73 - 82
  • [4] Electric vehicle charging stations emplacement using genetic algorithms and agent-based simulation
    Jordan, Jaume
    Palanca, Javier
    Marti, Pasqual
    Julian, Vicente
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 197
  • [5] Localization of charging stations for electric vehicles using genetic algorithms
    Jordan, Jaume
    Palanca, Javier
    del Val, Elena
    Julian, Vicente
    Botti, Vicent
    [J]. NEUROCOMPUTING, 2021, 452 : 416 - 423
  • [6] OPTIMAL LOCATION SELECTION FOR ELECTRIC VEHICLE CHARGING STATIONS USING GIS
    Guler, Dogus
    Yomralioglu, Tahsin
    [J]. 7TH INTERNATIONAL CONFERENCE ON CARTOGRAPHY AND GIS, VOLS 1 AND 2, 2018, : 340 - 345
  • [7] Optimal location of electric vehicle charging stations using proximity diagrams
    Calvo-Jurado, Carmen
    Ceballos-Martinez, Jose Maria
    Garcia-Merino, Jose Carlos
    Munoz-Solano, Marina
    Sanchez-Herrera, Fernando Jesus
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2024, 113
  • [8] The location optimization of electric vehicle charging stations considering charging behavior
    Tian, Zhihui
    Hou, Wenbin
    Gu, Xiaoning
    Gu, Feng
    Yao, Baozhen
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2018, 94 (07): : 625 - 636
  • [9] Location optimization of electric vehicle charging stations: Based on cost model and genetic algorithm
    Zhou, Guangyou
    Zhu, Zhiwei
    Luo, Sumei
    [J]. ENERGY, 2022, 247
  • [10] Location of Electric Vehicle Charging Stations Based on Game Theory
    Ma, Hao
    Pei, Wenhui
    Zhang, Qi
    Xu, Di
    Li, Yongjing
    [J]. WORLD ELECTRIC VEHICLE JOURNAL, 2023, 14 (05):
12345