Title :
A method of electric vehicle charging load forecasting based on the number of vehicles
Author :
Guo Chunlin ; Qi Wenbo ; Wu Li ; Du Hang ; Hou Pengxin ; Xiao Xiangning
Author_Institution :
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
Abstract :
This paper analyzes the characteristics and difficulties of electric vehicles charging load forecast, and a method of electric vehicle (EV) charging load forecasting based on the number of vehicles is proposed. This method is applicable to the early planning of EV charging infrastructure, which calculates concentration load and dispersion load according to EV charging modes. Finally, a case is given, which shows that the EV charging load forecasting based on the number of vehicles is simple, practical and highly adaptable.
Keywords :
battery powered vehicles; load forecasting; secondary cells; EV charging infrastructure planning; EV charging load forecasting method; EV charging modes; concentration load; dispersion load; electric vehicle charging load forecasting method; charging load; electric vehicle; forecasting method; load forecasting;
Conference_Titel :
Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
Conference_Location :
Hangzhou
Electronic_ISBN :
978-1-84919-673-4
DOI :
10.1049/cp.2012.1777
