Economic Analysis of Different Electric Vehicle Charging Scenarios

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Li, Ying^1 ; Zhou, Haiming^2 ; Ma, Xiufan^1 ; Wang, Hao^1

School of Electrical and Electronic Engineering, North China Electric Power University, Beijing

102206, China^1

China Electric Power Research Institute, Beijing

100192, China^2

关键词: Average cost;    Charging loads;    Economy analysis;    Electric vehicle charging;    EV Charging;    Load curves;    Social cost;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012041/pdf
DOI  :  10.1088/1757-899X/199/1/012041

来源: IOP

【 摘 要 】

Influence of electric vehicles (EV) to grid cannot be ignored. Research on the economy analysis of different charging scenarios is helpful to guide the user to charge or discharge orderly. EV charging models are built such as disordered charging, valley charging, intelligent charging, and V2G (Vehicle to Grid), by which changes of charging load in different scenarios can be seen to analyze the influence to initial load curve, and comparison can be done about user's average cost. Monte Carlo method is used to simulate the electric vehicle charging behavior, cost in different charging scenarios are compared, social cost is introduced in V2G scene, and the relationship between user's average cost and social cost is analyzed. By test, it is proved that user's cost is the lowest in V2G scenario, and the larger the scale of vehicles is, the more the social cost can save.