摘要
在复杂充电桩分布环境下进行电动汽车充电桩充放电的优化设计,需要进行电动汽车充电桩充放电多目标自动调度,提高电动汽车充电桩充放电控制能力,提出基于功耗自动监测控制的电动汽车充电桩充放电的多目标自动调度算法。构建电动汽车充电桩充放电的功耗和能量消耗分布模型,在充放电大数据监测环境中进行电动汽车充电桩充放电的多目标控制设计,根据电动汽车充电桩输出功耗的收发转换特性进行电能检测和充电桩输出电量特征分析,采用功耗自动监测控制方法实现电动汽车充电桩充放电多目标自动调度。仿真结果表明,采用该方法进行电动汽车充电桩充放电多目标调度的自动性较好,提高了电动汽车充电桩的利用效率,节省了功耗,提高了充电实时性。
In order to optimize the charging and discharging design of electric vehicle charging pile under the complex charging pile distribution environment,it is necessary to carry out multi-objective automatic dispatching of electric vehicle charging pile to improve the charge and discharge control ability of electric vehicle charging pile.A multi-objective automatic scheduling algorithm for charging and discharging of charging piles of electric vehicles based on power automatic monitoring control is proposed.The power consumption and energy consumption distribution model of charging and discharging piles of electric vehicles is constructed.The multi-objective control design of charging and discharging piles of electric vehicles is carried out in the monitoring environment of charging and discharging big data.According to the transceiver conversion characteristic of charging pile output power consumption of electric vehicle,the electric energy detection and charge pile output power characteristic analysis are carried out,and the power consumption automatic monitoring control method is adopted to realize multi-objective automatic dispatching of charging pile charge and discharge of electric vehicle.The simulation results show that this method is more automatic in charging and discharging multi-objective dispatching of electric vehicle charging pile,and the efficiency of charging pile is improved,the power consumption is saved and the real time charge is improved.
作者
龙国标
LONG Guobiao(Guowang Beijing Electric Power Company,Beijing 100031,China)
出处
《自动化与仪器仪表》
2019年第11期64-67,共4页
Automation & Instrumentation
基金
基于纳米理论的电缆抗菌技术应用研究科技项目(No.035300KK52150004)
关键词
电动汽车
充电桩
充放电
多目标调度
electric vehicle
charging pile
charging and discharging
multi-objective dispatching
