Economic Analysis of Different Electric Vehicle Charging Scenarios

被引:1
|
作者
Li Ying [1 ]
Zhou Haiming [2 ]
Ma Xiufan [1 ]
Wang Hao [1 ]
机构
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
[2] China Elect Power Res Inst, Beijing 100192, Peoples R China
关键词
D O I
10.1088/1757-899X/199/1/012041
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
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.
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页数:9
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