Exact Approach for Electric Vehicle Charging Infrastructure Location: A Real Case Study in Malaga, Spain

被引:0
作者
Risso, Claudio [1 ]
Cintrano, Christian [2 ]
Toutouh, Jamal [2 ]
Nesmachnow, Sergio [1 ]
机构
[1] Univ Republica, Montevideo, Uruguay
[2] Univ Malaga, Malaga, Spain
来源
SMART CITIES (ICSC-CITIES 2021) | 2022年 / 1555卷
关键词
Electric vehicles; Infrastructure location; Sustainable mobility; Smart cities; Combinatorial optimization; STATIONS;
D O I
10.1007/978-3-030-96753-6_4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article presents an exact approach for solving the problem of locating electric vehicle charging stations in a city, whose goal is upon minimizing the distance citizens must span to charge their vehicles. Mixed integer programming formulations are presented for two variants of the problem: relaxed (i.e., without considering electrical constraints for the infrastructure) and full versions. The experimental evaluation is performed over a real-world case study defined in Malaga, Spain. Results show that the proposed approach can deal with the large number of variables (i.e., millions) of the problem, computing optimal solutions for all problem instances and variants addressed. The improvements in solutions quality over a previous metaheuristic approach applied to the same problem and application case are notorious.
引用
收藏
页码:42 / 57
页数:16
相关论文
共 17 条
[1]  
[Anonymous], 2013, Optimal location of charging stations in smart cities: A points of interest based approach
[2]   Finding the optimal location for public charging stations - a GIS-based MILP approach [J].
Bian, Caiyun ;
Li, Hailong ;
Wallin, Fredrik ;
Avelin, Anders ;
Lin, Lu ;
Yu, Zhixin .
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 :6582-6588
[3]   Determining optimal locations for charging stations of electric car-sharing systems under stochastic demand [J].
Brandstaetter, Georg ;
Kahr, Michael ;
Leitner, Markus .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2017, 104 :17-35
[4]  
Çalik H, 2017, IEEE SYMP COMP COMMU, P134, DOI 10.1109/ISCC.2017.8024518
[5]   A MIP model for locating slow-charging stations for electric vehicles in urban areas accounting for driver tours [J].
Cavadas, Joana ;
de Almeida Correia, Goncalo Homem ;
Gouveia, Joao .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2015, 75 :188-201
[6]  
Chen TD, 2013, TRANSPORT RES REC, P28, DOI 10.3141/2385-04
[7]  
Cintrano Christian, 2021, Advances in Artificial Intelligence: 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Proceedings. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence (12882), P247, DOI 10.1007/978-3-030-85713-4_24
[8]   Using metaheuristics for the location of bicycle stations [J].
Cintrano, C. ;
Chicano, F. ;
Alba, E. .
EXPERT SYSTEMS WITH APPLICATIONS, 2020, 161
[9]   Analysis of Mobility Patterns for Public Transportation and Bus Stops Relocation [J].
Fabbiani, Enzo ;
Nesmachnow, Sergio ;
Toutouh, Jamal ;
Tchernykh, Andrei ;
Avetisyan, Arutyun ;
Radchenko, Gleb .
PROGRAMMING AND COMPUTER SOFTWARE, 2018, 44 (06) :508-525
[10]   Electric vehicle charging network in Europe: An accessibility and deployment trends analysis [J].
Falchetta, Giacomo ;
Noussan, Michel .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2021, 94