The Location of Electric Vehicle Charging Station Based on TLBO Optimization Algorithm

被引:0
|
作者
Hu Jinlei [1 ]
Sun Yunlian [2 ]
Yu Junwei [2 ]
Lu Jue [2 ]
Zou Qiwu [1 ]
Xie Xinlin [1 ]
Fu Bin [1 ]
机构
[1] Guangdong Power Grid Co Ltd, Qingyuan Power Supply Bur, Qingyuan 511500, Peoples R China
[2] Wuhan Univ, Sch Elect Engn, Wuhan 430074, Hubei, Peoples R China
关键词
D O I
10.1088/1757-899X/533/1/012034
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the large-scale application of electric vehicles, the construction of electric vehicle charging stations has become a prerequisite for urgent needs. In this paper, TLBO optimization algorithm is proposed. The optimal model of the location and the constant volume of the charging station is established based on the weighted distance and minimum distance from the user to the charging station. Based on the layout of the district network in the planning area, the construction plan of the electric vehicle charging station in the planning area is studied. Through a case study of a planning area, the results show that the TLBO optimization algorithm is applied to the location and constant volume of electric vehicle charging stations, with accurate calculation, rapid convergence, and good global optimization performance.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] The location model of the electric vehicle charging station based on simulated annealing algorithm
    Jia, Heping
    Liu, Shugang
    Xe, Shengli
    Huang, Shilong
    Pei, Shaotong
    [J]. ENERGY AND POWER TECHNOLOGY, PTS 1 AND 2, 2013, 805-806 : 1895 - +
  • [2] Location Selection of Electric Vehicle Charging Station Based on Improved Immune Algorithm
    Xu, Di
    Pei, Wenhui
    Li, Yongjing
    [J]. 2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 1538 - 1543
  • [3] Research on Location Selection of Electric Vehicle Charging Station Based on Improved Immune Algorithm
    Fu, YanXin
    [J]. INTERNATIONAL CONFERENCE ON SMART TRANSPORTATION AND CITY ENGINEERING 2021, 2021, 12050
  • [4] Location optimization of electric vehicle charging stations: Based on cost model and genetic algorithm
    Zhou, Guangyou
    Zhu, Zhiwei
    Luo, Sumei
    [J]. ENERGY, 2022, 247
  • [5] Location and Capacity Method of Electric Vehicle Charging Facilities Based on the Crisscross Optimization Algorithm
    Chen, Xiaohua
    Wang, Zhiping
    Chen, Shengyu
    Li, Jiaying
    Xu, Haiwen
    Li, Hongling
    [J]. 2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022), 2022, : 361 - 367
  • [6] Location Analysis of Electric Vehicle Charging Station Based on Improved PSO
    Liu, Dinghao
    Zhang, Huajun
    Nie, Hongwei
    Zhao, Yibo
    [J]. 2018 CHINESE AUTOMATION CONGRESS (CAC), 2018, : 2184 - 2188
  • [7] Location and capacity determination of charging station based on electric vehicle charging behavior analysis
    Cao, Weitao
    Wan, Youhong
    Wang, Lu
    Wu, Yue
    [J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2021, 16 (06) : 827 - 834
  • [8] Location and capacity determination of charging station based on electric vehicle charging behavior analysis
    Cao, Weitao
    Wan, Youhong
    Wang, Lu
    Wu, Yue
    [J]. IEEJ Transactions on Electrical and Electronic Engineering, 2021, 16 (06): : 827 - 834
  • [9] Review of Electric Vehicle Charging Station Location Planning
    Kizhakkan, Akhil Raj
    Rathore, Akshay Kumar
    Awasthi, Anjali
    [J]. 2019 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE (ITEC-INDIA), 2019,
  • [10] Locating and sizing method of electric vehicle charging station based on Improved Whale Optimization Algorithm
    Cheng, Junchao
    Xu, Jindi
    Chen, Wentao
    Song, Beibei
    [J]. ENERGY REPORTS, 2022, 8 : 4386 - 4400