A Modeling Method for the Power Demand of Electric Vehicles Based on Monte Carlo Simulation

Author

Zhang Bingliang ; Sun Yutian ; Li Bingqiang ; Li Jianxiang

Author_Institution

Res. Center of New Technol. for Smart Grid, Shandong Electr. Power Res. Inst., Jinan, China

fYear

2012

fDate

27-29 March 2012

Firstpage

1

Lastpage

5

Abstract

Electric vehicle (EV) is an important part of strong smart grid and low-carbon transport. In this paper, the power demand characteristics of different charging modes are analyzed first, the charging load model is constructed correspondingly based on Monte Carlo simulation. Taking the typical daily load profile of Shanghai for example, the charging curves of EVs are calculated and the impact on the load profile is studied. Result shows that charging modes have big effect on the charging load model of EV, and battery swapping mode could cut down the peak-valley difference in a great extent, which can improve the utilization and operation of power grid greatly.

Keywords

Monte Carlo methods; battery powered vehicles; smart power grids; EV; Monte Carlo simulation; Shanghai load profile; battery swapping mode; charging load model; electric vehicle; low-carbon transport; peak-valley; power demand; power grid; smart grid transport; Batteries; Load modeling; Monte Carlo methods; Power demand; System-on-a-chip; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific

Conference_Location

Shanghai

ISSN

2157-4839

Print_ISBN

978-1-4577-0545-8

Type

conf

DOI

10.1109/APPEEC.2012.6307215

Filename

6307215