• DocumentCode
    136888
  • Title

    Modeling for electric taxi load and optimization model for charging/swapping facilities of electric taxi

  • Author

    Zhaoxia Jing ; Liujia Fang ; Shan Lin ; Wenyan Shao

  • Author_Institution
    Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper firstly proposesa method for modeling charging/swapping load distribution of electric taxi. With this method, Monte Carlo Method and Dijkstra Algorithm are adopted to simulate the electric taxi´s operation behavior based on the analysis of its operation characteristics. Then facility optimization model is proposed to minimize the life circle cost (LCC) of charging/swapping facilities and the time value of electric taxi under the constraints of queuing model and the price spread between oil and electricity. Finally, a practical example is carried out to demonstrate the performance of the modeling method and facility optimization model.
  • Keywords
    Monte Carlo methods; electric vehicles; graph theory; load distribution; optimisation; queueing theory; search problems; Dijkstra algorithm; Monte Carlo method; charging facilities; charging load distribution modeling method; electric taxi load modeling; electric taxi operation behavior simulation; facility optimization model; life circle cost minimization; price spread constraint; queuing model constraint; swapping facilities; swapping load distribution modeling method; Batteries; Charging stations; Electric vehicles; Load modeling; Optimization; Planning; Charging/battery swapping facility optimization; Electric taxi; Load modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6941160
  • Filename
    6941160