Title :
Model design and realization of multi-EVSE-level electric vehicle recharging station
Author :
Li Yan ; Wang Jin-kuan ; Han Peng ; Han Ying-hua
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
Based on the EV possession, EV customer requirements, recharging-station scales, service levels, etc., this paper constructs a high-adaptive EV recharging station model, and then builds an impact model of recharging station control method to the grid load. Simulation denotes this model can well reflect the EV recharging demand, recharging station service ability, and operation process of a certain area, moreover, it can reveal the different service level recharging strategies´ influence to the distribution grid. The proposed model is beneficial for providing improved service to the EV customers with different requirements, getting a precise assessment to the recharging station construction in areas with different EV possession ratios, and also assisting the decision making of recharging station scheduling optimization.
Keywords :
decision making; electric vehicles; power grids; scheduling; EV customer requirements; EV possession; EV recharging demand; decision making; distribution grid; grid load; high-adaptive EV recharging station model; model design; multiEVSE-level electric vehicle recharging station; recharging station construction; recharging station control method; recharging station scheduling optimization; recharging station service ability; recharging strategies; recharging-station scales; Analytical models; Batteries; Charging stations; Electric vehicles; Load modeling; Monitoring; Smart grids; EV; Load Control; Modelling Technology; Recharging Station;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896002