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作 者:Mingfei BAN Jilai YU
机构地区:[1]Harbin Institute of Technology,Harbin 150001,HLJ,China
出 处:《Journal of Modern Power Systems and Clean Energy》2015年第2期170-179,共10页现代电力系统与清洁能源学报(英文)
基 金:This work is jointly supported by the National Natural Science Foundation of China(No.51377035);NSFCRCUK_EPSRC(No.51361130153).
摘 要:The usage of each private electric vehicle(PrEV)is a repeating behavior process composed by driving,parking,discharging and charging,in which PrEV shows obvious procedural characteristics.To analyze the procedural characteristics,this paper proposes a procedural simulation method.The method aggregates the behavior process regularity of the PrEV cluster to model the cluster’s charging load.Firstly,the basic behavior process of each PrEV is constructed by referring the statistical datasets of the traditional private non-electric vehicles.Secondly,all the basic processes are set as a simulation starting point,and they are dynamically reconstructed by several constraints.The simulation continues until the steady state of charge(SOC)distribution and behavior regularity of the PrEV cluster are obtained.Lastly,based on the obtained SOC and behavior regularity information,the PrEV cluster’s behavior processes are simulated again to make the aggregating charging load model available.Examples for several scenarios show that the proposed method can improve the reliability of modeling by grasping the PrEV cluster’s procedural characteristics.
关 键 词:Electric vehicle(EV) Private electric vehicle(PrEV) Charging load model State of charge(SOC) Procedural simulation CLUSTER
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