Analysis of factors affecting economic operation of electric vehicle charging station based on DEMATEL-ISM

被引:73
作者
Liang, Yi [1 ,2 ]
Wang, Haichao [3 ]
Zhao, Xinyue [4 ]
机构
[1] Hebei GEO Univ, Sch Management, Shijiazhuang 050031, Hebei, Peoples R China
[2] Hebei GEO Univ, Strategy & Management Base Mineral Resources Hebe, Shijiazhuang 050031, Hebei, Peoples R China
[3] Long Yuan Beijing Wind Power Engn & Consulting Co, Beijing 100034, Peoples R China
[4] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
基金
国家教育部科学基金资助;
关键词
Electric vehicle charging station; Economic operation; Influencing factors; DEMATEL; ISM; QUALITY;
D O I
10.1016/j.cie.2021.107818
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Electric vehicles have gained rapid development in recent years, and many shaped electric vehicle charging stations (EVCS) have been built in China. However, with the increase of the number and scale of EVCS, the economic problems of EVCS operation are becoming more and more prominent, and there are many problems in their operation, all of which affect the economic and social benefits of EVCS. In order to improve the economic operation of EVCS, this paper adopts Decision Making Trial and Evaluation Laboratory-Interpretative Structural Modeling (DEMATEL-ISM) method to identify and analyse its influencing factors. According to the opinions of experts and EVCS enterprises, the influencing factors system of economic operation of EVCS is constructed by Delphi method, including four aspects of planning, external environment, management and technology. Based on the analysis results of multilevel hierarchical structure model, the influencing factors of EVCS economic operation can be divided into four levels. Among them, the top-level factors include charging price, gasoline price, electric vehicle battery, reliability of power supply, and spare parts management. The factors in the second layer include charging monitoring system and safety management. The third level factors include charging station address, charging station scale, regional power grid situation, government policy, technical supervision management, operation data analysis and management, personal training management. The third level elements directly affect the second level factors and have an impact on the first level factors through the second level factors. Furthermore, it is also found that the number of electric vehicles is the deepest factor and the most basic segment which affects the economic operation of EVCS and the other factors. This method is feasible and can be utilized to quantitatively analyse the influencing factors of economic operation of EVCS.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Electric Vehicle Charging Station Operation and Management Key Functions for Actual Demonstration Site
    Lee, Halim
    Byeon, Gilsung
    Kim, Gyeonghun
    Kim, Jinwook
    PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE AND UTILITY EXHIBITION ON GREEN ENERGY FOR SUSTAINABLE DEVELOPMENT (ICUE 2018), 2018,
  • [22] Research on Interactive Operation Optimization Technology of Electric Vehicle Charging Station-to-Grid
    Zhang, Yongxin
    Yan, Pengling
    Zhu, Guodong
    Cheng, Yuhang
    PROCEEDINGS OF 2022 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2022), 2022, : 1034 - 1039
  • [23] Modelling of electric vehicle charging station and controlled by fuzzy logic controller with different modes of operation
    Kumar, S. C. Vijaya
    Karunanithi, K.
    Raja, S. P.
    Ramesh, S.
    Chandrasekar, P.
    Obulupathy, R.
    JOURNAL OF CONTROL AND DECISION, 2023, 10 (01) : 26 - 39
  • [24] Techno-Economic and Environmental Analysis of Grid-Connected Electric Vehicle Charging Station Using AI-Based Algorithm
    Bilal, Mohd
    Alsaidan, Ibrahim
    Alaraj, Muhannad
    Almasoudi, Fahad M.
    Rizwan, Mohammad
    MATHEMATICS, 2022, 10 (06)
  • [25] Energy Management System for Hybrid Renewable Energy-Based Electric Vehicle Charging Station
    Karmaker, Ashish Kumar
    Hossain, Md. Alamgir
    Pota, Hemanshu Roy
    Onen, Ahmet
    Jung, Jaesung
    IEEE ACCESS, 2023, 11 : 27793 - 27805
  • [26] Electric bus charging station site selection based on the combined DEMATEL and PROMETHEE-PT framework
    Sang, Xiuzhi
    Yu, Xianyu
    Chang, Ching-Ter
    Liu, Xinwang
    COMPUTERS & INDUSTRIAL ENGINEERING, 2022, 168
  • [27] The location model of the electric vehicle charging station based on simulated annealing algorithm
    Jia, Heping
    Liu, Shugang
    Xe, Shengli
    Huang, Shilong
    Pei, Shaotong
    ENERGY AND POWER TECHNOLOGY, PTS 1 AND 2, 2013, 805-806 : 1895 - +
  • [28] Research on the Coordinated Recovery Strategy Based on Centralized Electric Vehicle Charging Station
    Wen, Menghao
    Shi, Huabo
    Li, Baohong
    Jiang, Qin
    Liu, Tianqi
    Ding, Chaofan
    ENERGIES, 2023, 16 (14)
  • [29] Influencing Factors Analysis of Supply Chain Resilience of Prefabricated Buildings Based on PF-DEMATEL-ISM
    Lu, Jiequn
    Wang, Junwu
    Song, Yinghui
    Yuan, Chunbao
    He, Juanjuan
    Chen, Zhao
    BUILDINGS, 2022, 12 (10)
  • [30] Bi-level programming model of electric vehicle charging station based on orderly charging scheduling
    Li, Jiyong
    Hua, Zeyi
    Liu, Chengye
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2025, 41