中国电机工程学报2017，Vol.37Issue(16)：4618-4629,12.DOI:10.13334/j.0258-8013.pcsee.161554
电动汽车充电需求时空分布动态演化模型
Spatial and Temporal Distribution Model of Electric Vehicle Charging Demand
摘要
Abstract
The prediction of the spatial and temporal distribution of electric vehicle (EV)'s charging demands has great influence on the response to the situation where EVs are connected to gird in large scale.The existing studies,however,fails to describe accurately the mathematical model for EVs that contains the changes of location and state of charge (SOC)in the drive.In order to simulate the dynamic changing process of EV's traffic and charging demands,a practical demand of grid scheduling to mend the existing micro traffic model was considered,and the power consumptions of EV in different scenarios by using software Cruise were calculated.Then,a dynamical evolution model for the spatial and temporal distribution of EV's charging demands based on Agent-cellular automata (CA) was proposed.Subsequently,a case study consisting of a 54-node distribution system and a 25-node traffic network system shows that the proposed method is able to the spatial and temporal EVs charging demand at rapid charging station and provide theoretical foundation for load guiding strategy of EVs.关键词
电动汽车/Agent-元胞自动机/充电需求/Cruise/时空分布Key words
electric vehicles (EVs)/agent-CA/charging demand/Cruise/spatial and temporal distribution分类
信息技术与安全科学引用本文复制引用
苏舒,林湘宁,张宏志,赵航,李浩,李正天..电动汽车充电需求时空分布动态演化模型[J].中国电机工程学报,2017,37(16):4618-4629,12.基金项目
国家自然科学基金项目(51537003) （51537003）
武汉市黄鹤英才(科技)计划.Project Supported by National Natural Science Foundation of China(51537003) （科技）
Wuhan Yellow Crane Talents (Science) Plan of China. （Science）
