For access to this article, please select a purchase option:
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Your recommendation has been sent to your librarian.
Aiming at the impact of a large number of electromobiles connected to the grid, this article is based on time-space distribution of charging demand for electric automobile: Firstly, the peculiarity of the storage battery and the daily mileage of new energy automobile are analyzed. On the basis of the charging method, user expectations and vehicle mileage, we can determine the battery status of the electric automobile at the initial moment; Secondly, the charging load model and travel chain of electromobiles was built to obtain the charging power demand distribution of disparate types of electromobiles at different times of a day through Monte Carlo method; Finally, based on actual data in an area, the distribution of power charging demand for different types of electric vehicles in a day is obtained through simulation. Through comparative analysis, it can be seen that the conclusion is consistent with the actual situation, and the effectiveness of the method is verified.
Inspec keywords: electric vehicle charging; battery powered vehicles; secondary cells; Monte Carlo methods; automobiles; vehicle-to-grid
Subjects: Probability theory, stochastic processes, and statistics; Monte Carlo methods; Other power stations and plants; Transportation; Automotive transportation (energy utilisation); Secondary cells; Secondary cells