Load Cluster Characteristic Analysis and Modeling of Electric Vehicles

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

China Electric Power Research Institute, Nanjing 210003, China.
State Grid Electric Power Research Institute, Nanjing 210003, China.

DOI: 10.4236/eng.2013.59B005                

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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