• DocumentCode
    3760558
  • Title

    Research on quantitatively evaluating system acceptance capacity of electric vehicles considering coordinated strategy

  • Author

    Qi Zuo;Ming Zhou;Hailei He;Caihao Liang;Qinyong Zhou;Wenjie He

  • Author_Institution
    State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China
  • fYear
    2015
  • Firstpage
    2614
  • Lastpage
    2619
  • Abstract
    By studying on the coordination between the system reliability level and the EV grid-integration scale, the system acceptance capacity of EVs can be assessed from a new point of view. In this paper, a model for the charging loads of three types of EVs and a coordinated strategy with time-of-use price (TOU) are established. Then, the maximum acceptable capacity, reliability sensitivity and other indicators are proposed to quantitatively characterize the system ability to accommodate EVs. Subsequently, by combining the acquired EV charging load algorithm with the traditional reliability assessment method, the quantitative evaluation approach of the system acceptance capacity of EVs considering coordinated strategy is proposed. In order to improve the simulation efficiency, the Latin hypercube method is used to sample the system state. The feasibility of proposed indicators and method is verified with test results of the IEEE24-RTS system. Furthermore, different cases are comparatively analyzed with and without the coordinated strategy, respectively. Results prove that the coordinated strategy can improve the system reliability level, and greatly enhance the system acceptance capacity of EVs.
  • Keywords
    "Indexes","Reliability","Load modeling","Sensitivity","Decision support systems","Timing","Power industry"
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
  • Type

    conf

  • DOI
    10.1109/DRPT.2015.7432690
  • Filename
    7432690