Title :
Control of battery electric vehicle charging for commercial time of day demand rate payers
Author :
Halbleib, Alexander ; Turner, Matthew ; Naber, John
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Louisville, Louisville, KY, USA
Abstract :
The impact of battery electric vehicle (BEVs) charging on a commercial time of day rate customer is examined. Using the Nissan Leaf and the Chevrolet Volt, a case study of the University of Louisville is used to illustrate the economic and peak demand impacts of uncontrolled BEV charging. A BEV charge control algorithm based on 15-minute-ahead peak kVA forecasting is presented, along with three forecast methods. The algorithms are validated via simulation with the MATLAB software package. Results show uncontrolled charging can cause an increase in the monthly electric bill of up to 22% due to demand charges alone, even at low BEV penetration rates of 10%.
Keywords :
battery powered vehicles; load forecasting; power system economics; BEV charge control algorithm; Chevrolet volt; Matlab software package; Nissan leaf; battery electric vehicle charging control; day demand rate payer commercial time; electric bill; time 15 min; uncontrolled BEV charging; Algorithm design and analysis; Batteries; Educational institutions; Forecasting; Mathematical model; Predictive models; Vehicles; BEV; Battery Electric Vehicle; Chevrolet Volt; Electric Vehicle; MATLAB; Nissan Leaf; Smart Charging;
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-2158-8
DOI :
10.1109/ISGT.2012.6175728
