User Decision-based Analysis of Urban Electric Vehicle Loads  

作　　者：Lei Dong Chunfei Wang Mengting Li Ke Sun Tianyi Chen Yingyun Sun 

机构地区：[1]the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Changping District,Beijing 102206,China [2]the State Grid Economic and Technological Research Institute Co.,Ltd.

出　　处：《CSEE Journal of Power and Energy Systems》2021年第1期190-200,共11页中国电机工程学会电力与能源系统学报（英文）

基　　金：the National Natural Science Foundation of China (No.51777065).

摘　　要：The grid load attributable to electric vehicles (EVs)is affected by the choice behaviors of EV users. To analyze theeffects of factors such as travel demand and electricity priceson user behavior, a logit discrete choice model is introducedto simulate the users decisions to charge/travel. Based on aquasi-steady-state traffic network, a model for cluster electricvehicles considering the user’s behavior is designed to obtain theprobability distribution of the user’s behavior and the chargeand discharge curves of cluster EVs under various scenarios. Thevalidity of the proposed model is verified using an IEEE 9-nodetraffic network case and an urban traffic network case. Furthermore,the impact of the electricity price, traffic conditions, andother factors on the load curves of urban EVs is analyzed.

关 键 词：Cluster electric vehicles discrete choice model quasi-steady traffic network model vehicle-to-grid(V2G) 

分 类 号：TM73[电气工程—电力系统及自动化]