Title :
A hybrid simulation method for EVs´ operation considering power grid and traffic information
Author :
Shujun Xin ; Qinglai Guo ; Hongbin Sun ; Zhengshuo Li ; Boming Zhang ; Shaobo Zhang
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
As the penetration of electric vehicles (EVs) increases, it is required to consider both power grid and traffic information when analyzing EVs distribution and charging loads. This paper presents a hybrid simulation method for real-time operation of EVs, charging stations, traffic and the grid. It first describes the traffic model and electric model and builds a hybrid model for EVs to combine these two models. The paper presents a detailed timing simulation method afterwards. After generating EV inflows and traffic flows in different places and setting EV´s charging behavior, EVs´ State of Charge (SOC) and spatial moving and charging stations´ working states can be viewed through simulation. An example is presented to illustrate the impact of EV inflows on the charging power of charging stations. This method can be applied in other researches, and it will be utilized for future research work on the interaction between power grid and traffic network.
Keywords :
battery chargers; electric vehicles; power grids; EV; charging stations; electric model; electric vehicles; hybrid model; hybrid simulation; power grid; real-time operation; state of charge; traffic information; traffic model; traffic network; Analytical models; Data models; Load modeling; Real-time systems; Roads; System-on-chip; Vehicles; Electric Vehicle; Modeling; Simulation; Traffic;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672762