Title :
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
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;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307215
