Title :
An Optimized EV Charging Model Considering TOU Price and SOC Curve
Author :
Cao, Yijia ; Tang, Shengwei ; Li, Canbing ; Zhang, Peng ; Tan, Yi ; Zhang, Zhikun ; Li, Junxiong
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
fDate :
3/1/2012 12:00:00 AM
Abstract :
Large-scale deployment of electric vehicles (EVs) is anticipated in the foreseeable future. Heavy intermittent charging load of EVs will create bottlenecks in supplying capacity and expose power system to severe security risks. In this paper, we propose an intelligent method to control EV charging loads in response to time-of-use (TOU) price in a regulated market. First, an optimized charging model is formulated to minimize the charging cost. Then, a heuristic method is implemented to minimize the charging cost considering the relation between the acceptable charging power of EV battery and the state of charge (SOC). Finally, the charging cost and energy demand in different time intervals are compared for both typical charging pattern and optimized charging pattern. Results show that the optimized charging pattern has great benefit in reducing cost and flatting the load curve if the peak and valley time periods are partitioned appropriately.
Keywords :
battery powered vehicles; costing; optimisation; power markets; pricing; EV battery; EV charging loads; SOC curve; TOU price; charging cost; electric vehicles; energy demand; optimized EV charging model; optimized charging pattern; state of charge curve; time-of-use price; Batteries; Electricity; Energy management; Load modeling; Numerical models; Optimization; System-on-a-chip; Charging facility; charging load; electric vehicle; state of charge; time-of-use price;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2011.2159630