Equitable distribution of recharging stations for electric vehicles

被引:13
|
作者
Do Chung, Byung [1 ]
Park, Sungjae [2 ]
Kwon, Changhyun [3 ]
机构
[1] Yonsei Univ, Dept Ind Engn, Seoul, South Korea
[2] Samsung SDS, Logist Innovat Part, Seoul, South Korea
[3] Univ S Florida, Dept Ind & Management Syst Engn, Tampa, FL 33620 USA
关键词
Electric vehicles; Flow refueling location problem; Demand equity; Flow equity; ALTERNATIVE-FUEL STATIONS; REFUELING LOCATION MODEL; PUBLIC FACILITY LOCATION; NETWORK DESIGN PROBLEM; TRANSPORTATION; INFRASTRUCTURE; FORMULATION; DISPERSION; EFFICIENCY; FRAMEWORK;
D O I
10.1016/j.seps.2017.06.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Given the limited driving range of battery electric vehicles and lack of sufficient charging infrastructure, locating charging stations is an important decision problem to enable long-distance travels by battery electric vehicles. This paper considers an important political factor in such location problems: the equitable access to charging stations among geographical regions. We propose three types of equity constraints to the flow refueling location model: two constraints based on travel demand and the other based on traffic flow. For solving the problem with flow equity constraints, we propose a multi-phase heuristic method. We test the proposed models and computational method in a real expressway network in Korea. (c) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 11
页数:11
相关论文
共 50 条
  • [1] Efficient Allocation of Recharging Stations for Electric Vehicles in Urban Environments
    Gallego, J.
    Larrode, E.
    [J]. ADVANCED MICROSYSTEMS FOR AUTOMOTIVE APPLICATIONS 2011: SMART SYSTEMS FOR ELECTRIC, SAFE AND NETWORKED MOBILITY, 2011, : 49 - 58
  • [2] Optimal recharging strategy for battery-switch stations for electric vehicles in France
    Armstrong, M.
    Moussa, C. El Hajj
    Adnot, J.
    Galli, A.
    Riviere, P.
    [J]. ENERGY POLICY, 2013, 60 : 569 - 582
  • [3] The Optimal Deployment of Recharging Stations for Electric Vehicles Based on Mobility Flows and Electric Grid Specifications
    Mourad, Abood
    Hennebel, Martin
    [J]. 2020 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT-EUROPE 2020): SMART GRIDS: KEY ENABLERS OF A GREEN POWER SYSTEM, 2020, : 534 - 538
  • [4] Management of the Recharging of Electric Vehicles and its Impact on the Distribution Network
    Perdomo, Mariano M.
    Manassero, Ulises
    Vega, Jorge R.
    [J]. 2021 IEEE URUCON, 2021, : 311 - 315
  • [5] Optimal Recharging Policies for Electric Vehicles
    Swed, Timothy M.
    Dolinskaya, Irina S.
    Klabjan, Diego
    [J]. TRANSPORTATION SCIENCE, 2017, 51 (02) : 457 - 479
  • [6] Selecting optimal location for electric recharging stations with queue
    Hosseini, Meysam
    MirHassani, S. A.
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2015, 19 (07) : 2271 - 2280
  • [7] Selecting optimal location for electric recharging stations with queue
    Meysam Hosseini
    S. A. MirHassani
    [J]. KSCE Journal of Civil Engineering, 2015, 19 : 2271 - 2280
  • [8] Adaptive Routing and Recharging Policies for Electric Vehicles
    Sweda, Timothy M.
    Dolinskaya, Irina S.
    Klabjan, Diego
    [J]. TRANSPORTATION SCIENCE, 2017, 51 (04) : 1326 - 1348
  • [9] Optimal Allocation of Charging Stations for Electric Vehicles in the Distribution System
    Cheng, Shan
    Gao, Peng-Fei
    [J]. 2018 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT GREEN BUILDING AND SMART GRID (IGBSG 2018), 2018,
  • [10] Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations
    Yu, Kevin
    Budhiraja, Ashish Kumar
    Tokekar, Pratap
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2018, : 5720 - 5725