Optimal Planning of Electric Vehicle Charging Stations Location Based on Hybrid Particle Swarm Optimization

被引:4
|
作者
Tang, Zheci [1 ]
Guo, Chunlin [1 ]
Hou, Pengxin [1 ]
Fan, Yubo [1 ]
Jia, Dongming [1 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing, Peoples R China
来源
APPLIED ENERGY TECHNOLOGY, PTS 1 AND 2 | 2013年 / 724-725卷
关键词
Electric vehicles; Hybrid Particle Swarm Optimization; Charging stations location; Optimal Planning;
D O I
10.4028/www.scientific.net/AMR.724-725.1355
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In order to determine the layout of electric car charging stations, a model for optimizing charging stations location is developed after charging-demand districts are divided, the number of electric vehicles and the center of each charging district are ready. This model takes the minimization of electric vehicles charging stations total cost which includes initial fixed investment costs, operating costs and charging costs as the objective function, some related constraints which include service radius, capacity of charging station etc. are considered. Particle swarm optimization based on hybridization is proposed to solve this problem. The example verifies feasibility of this method.
引用
收藏
页码:1355 / +
页数:2
相关论文
共 50 条
  • [1] 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
    SUSTAINABLE CITIES AND SOCIETY, 2024, 113
  • [2] Maximum flow-based formulation for the optimal location of electric vehicle charging stations
    Parent, Pierre-Luc
    Carvalho, Margarida
    Anjos, Miguel F.
    Atallah, Ribal
    NETWORKS, 2024, 84 (02) : 109 - 131
  • [3] Optimal Planning of Electric Vehicle Charging Stations Considering User Satisfaction and Charging Convenience
    Xu, Di
    Pei, Wenhui
    Zhang, Qi
    ENERGIES, 2022, 15 (14)
  • [4] A GIS-based Optimal Facility Location Framework for Fast Electric Vehicle Charging Stations
    Zafar, Usman
    Bayram, I. Safak
    Bayhan, Sertac
    PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2021,
  • [5] Neighborhood Electric Vehicle Charging Scheduling Using Particle Swarm Optimization
    Peppanen, Jouni
    Grijalva, Santiago
    2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,
  • [6] Optimal Playing of Electric Vehicle Charging Stations
    Brenna, Morris
    Dolara, Alberto
    Leva, Sonia
    Longo, Michela
    Zaninelli, Dario
    2017 IEEE 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2017, : 210 - 215
  • [7] Optimal scheduling of electric vehicle ordered charging and discharging based on improved gravitational search and particle swarm optimization algorithm
    Pan, Kui
    Liang, Chuan-Dong
    Lu, Min
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 157
  • [8] Optimal planning of electric vehicle charging stations comprising multi-types of charging facilities
    Luo, Lizi
    Gu, Wei
    Zhou, Suyang
    Huang, He
    Gao, Song
    Han, Jun
    Wu, Zhi
    Dou, Xiaobo
    APPLIED ENERGY, 2018, 226 : 1087 - 1099
  • [9] Optimal Location of Fast Electric Vehicle Charging Stations on the Transportation and Active Distribution Network
    Madboly, Mayar
    Zeineldin, Hatem H.
    El-Fouly, Tarek
    El-Saadany, Ehab F.
    2023 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES, ISGT MIDDLE EAST, 2023,
  • [10] Optimal planning of electric vehicle charging stations based on life cycle cost and quantum genetic algorithm
    Huang, Xiaoqing
    Yang, Hang
    Chen, Jie
    Jiang, Lei
    Cao, Yijia
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2015, 39 (17): : 176 - 182