Electric Load Forecasting of Electric Vehicles in Charging

This paper forecast the electric load of the mass electric cars connected to the electric grid in charging and discharging; considered the inventory forecast of electric vehicles; comprehensive analyzed the charge and discharge characteristics of the electric cars’ charging infrastructures and the impact factors such as users’ behaviors as well as the using frequency, which lead to different load distribution at different times. It calculated the total load of electric vehicles into the load curve and the load curve of the characteristics under different regions (industrial, commercial and residential). Concludes that the mass electric cars connected to the electricity grid will increase the peak load of power grid, and lay the foundation for the subsequent market management and optimization control.

[1]  Zhiwei Xu,et al.  Forecasting charging load of plug-in electric vehicles in China , 2011, 2011 IEEE Power and Energy Society General Meeting.

[2]  Zechun Hu,et al.  Optimal siting and sizing of electric vehicle charging stations , 2012, 2012 IEEE International Electric Vehicle Conference.

[3]  D. Manager,et al.  Electric Vehicles , 1926, Nature.

[4]  Li Zhang,et al.  Demand response model for characteristics analysis of electricity consumers , 2012, IEEE PES Innovative Smart Grid Technologies.

[5]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[6]  Jian Wang,et al.  Electric Vehicle Load Characteristic Analysis and Impact of Regional Power Grid , 2012, EMEIT 2012.

[7]  Hao Chen,et al.  Study on the Charging and Discharging Model of Ni/MH Battery Module for Electric Vehicle , 2004 .

[8]  Zeng Ming,et al.  Study of the Implementation Mode of Demand Side Response in China , 2010, 2010 International Conference on Electrical and Control Engineering.