Title :
Optimization of electric vehicle charging capacity in a parking lot for reducing peak and filling valley in power grid
Author :
Dai MengTing ; Zheng JingHong ; Zhang Man ; Wang WenZhuo
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
The cluster effect of charging load characteristics of the large-number of EVs will put forward a new requirement on the power supply of distribution system. Based on the power load model of single EV charger in consideration of batteries SOC, the normal distribution of initial SOC and Poisson distribution of the time vehicles arrived, a charging station model for the cluster effect of EVs is presented to analyze the load demand in a parking lot in a day. Then an optimization strategy of vehicles charged orderly is proposed. By Monte Carlo simulation, it is verified that the proposed strategy could help on reducing peak and filling valley while meeting EVs users´ charging demand.
Keywords :
Monte Carlo methods; Poisson distribution; battery chargers; battery powered vehicles; distribution networks; load (electric); optimisation; Monte Carlo simulation; Poisson distribution; cluster effect; distribution system power supply; electric vehicle charging capacity; parking lot; power grid; power load model; state of charge; Batteries; Fluctuations; Load modeling; Monte Carlo methods; Optimization; System-on-a-chip; Vehicles; Monte Carlo simulation; Poisson process; electric vehicle (EV); load model; optimization; power demand; state-of-charge (SOC);
Conference_Titel :
Advanced Power System Automation and Protection (APAP), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9622-8
DOI :
10.1109/APAP.2011.6180604
