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has been cited by the following article:

• TITLE: Load Cluster Characteristic Analysis and Modeling of Electric Vehicles

  AUTHORS: Dan Zeng, Ke Wang, Yaping Li, Xiaorui Guo, Xiao Jiang

  KEYWORDS: Electric Vehicle; Potential of Development; Charging Mode; Cluster Characteristic; Poisson Distribution

  JOURNAL NAME: Engineering, Vol.5 No.9B, October 10, 2013

  ABSTRACT: Electric vehicle, as a clean energy industry, is an important branch. Electric vehicles not only are the energy of the electric user, but also can be used as mobile and distributed energy storage unit to the grid. As a precondition of safety operation for power grid, studies of EVs’ charging load characteristics is also the theoretical basis of intelligent scheduling EVs charging orderly. This paper assesses the future of the electric vehicles development prospects, and secondly establishes a charging model of a single EV. Then, considering stochastic distribution of the initial state-of-charge (SOC0) and the arriving time of the vehicles, a cluster model of the charging station is proposed. Meanwhile, the paper from the types and charging mode of electric vehicles analyzes the behavior of EV. Finally, an example simulation is validated.