摘要
基于某工厂员工的电动汽车使用数据,分析了员工上下班出行行为及电动汽车电量分布情况,使用蒙特卡洛模拟方法仿真了100辆电动汽车的出行及充电行为.设计搭建了光伏电动汽车充电站仿真平台用于对电站进行评估分析.基于仿真数据,使用粒子群算法对工作场所建设电站进行了系统方案设计和可行性研究.结果表明,模拟数据能很好地描述员工出行和充电行为,设计的光伏充电站系统能够基本满足员工充电需求,从而促进工厂的可持续化发展并节约成本.
Based on the electric vehicle usage data of factory employees, we analyze the employees’ commute behavior and the distribution of vehicles’ state of charge, and simulate the commute and charging behavior of 100 electric vehicles using Monte Carlo simulation method. A photovoltaic charging station simulation platform is designed to evaluate and analyze the station. Based on the simulation data, the feasibility and system design for photovoltaic EV charging station in the workplace are detailed analyzed and designed by using particle swarm optimization method. The results show that the simulation data can well describe the employees’ travel and charging behavior. The designed photovoltaic charging station system can basically meet the charging demand, so as to promote the sustainable development of the factory and save cost.
作者
纪东
吕鸣松
王义
JI Dong;LYU Ming-song;WANG Yi(School of Computer Science & Engineering,Northeastern University,Shenyang 110169,China)
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2019年第6期783-788,共6页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金重点项目(61532007)
装备预研教育部联合基金青年人才基金资助项目(6141A020333)
关键词
光伏
充电站
电动汽车
容量配比
可行性
photovoltaic
charging station
electric vehicle
capacity configuration
feasibility
