The Research of V2G Technology Real-Time Charge and Discharge Capacity Prediction

2018 2nd International Conference on Environmental and Energy Engineering

生态环境科学;能源学

Leugoue, E.^1 ; Zhang, J.^1 ; Ndjansse, S. R. Dibonji^2

North China Electric Power University, Changping District Beijing

102206, China^1

Hefei University of Technology, 193 Tunxi Road, Hefei, ANHUI

230009, China^2

关键词: Access network;    Beijing area;    Charge and discharge capacities;    Monte Carlo stochastic simulation method;    Power grids;    Prediction model;    Real time;    Starting time;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/146/1/012066/pdf
DOI  :  10.1088/1755-1315/146/1/012066

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The problem of spatial randomness and time randomness is very important for the characteristics of electric vehicle access network. Based on monte carlo stochastic simulation method, the daily mileage and the starting time nodes of different types of electric vehicles in the dispatch area were randomly selected and the prediction model of charging capacity of V2G system is presented. Taking the Beijing area as an example, the real-time charge and discharge capacity of V2G system is predicted in 24 hours a day, to provide data reference for power grid dispatch center.