Optimal Strategy of Efficiency Power Plant with Battery Electric Vehicle in Distribution Network

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Ma, Tao^1 ; Su, Su^1 ; Li, Shunxin^2 ; Wang, Wei^1 ; Yang, Tiantian^1 ; Li, Mengjuan^1 ; Ota, Yutaka^3

National Active Distribution Network Technology Research Centre, Beijing Jiaotong University, Haidian District, Beijing

100044, China^1

State Grid Jibei Electric Research Institute, Xicheng District, Beijing

100045, China^2

Tokyo City University, Japan^3

关键词: Coordinated charging;    Efficiency power plants;    Electric Vehicles (EVs);    Optimal strategies;    Peer-to-Peer system;    Urban environments;    Utilization ratios;    Virtual power plants (VPP);   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012095/pdf
DOI  :  10.1088/1757-899X/199/1/012095

来源: IOP

【 摘 要 】

With the popularity of electric vehicles (EVs), such as plug-in electric vehicles (PHEVs) and battery electric vehicles (BEVs), an optimal strategy for the coordination of BEVs charging is proposed in this paper. The proposed approach incorporates the random behaviours and regular behaviours of BEV drivers in urban environment. These behaviours lead to the stochastic nature of the charging demand. The optimal strategy is used to guide the coordinated charging at different time to maximize the efficiency of virtual power plant (VPP). An innovative peer-to-peer system is used with BEVs to achieve the goals. The actual behaviours of vehicles in a campus is used to validate the proposed approach, and the simulation results show that the optimal strategy can not only maximize the utilization ratio of efficiency power plant, but also do not need additional energies from distribution grid.