基于二阶圆锥规划的大规模电动汽车充电调度优化研究  

Research on optimization of large-scale electric vehicle charging scheduling based on second-order cone programming

作　　者：任飞 田晨璐 张桂青[1,2] 阎俏 刘业春[1] Ren Fei;Tian Chenlu;Zhang Guiqing;Yan Qiao;Liu Yechun(School of Information and Electrical Engineering,Shandong Jianzhu University,Jinan,Shandong 250101,China;Shandong Key Laboratoryof Intelligent Buildings Technology)

机构地区：[1]山东建筑大学信息与电气工程学院,山东济南250101 [2]山东省智能建筑技术重点实验室

出　　处：《计算机时代》2022年第9期100-104,共5页Computer Era

基　　金：山东省重点研发计划项目(2019JZZY010115)。

摘　　要：提出一种基于二阶圆锥规划的大规模电动汽车充电调度优化策略。该策略能够在电力成本、需量充电、电池退化成本和负荷波动之间找到平衡点,结合约束函数,对电动汽车的充电调度进行优化,最终给出优化结果。使用ACNData数据集进行验证,实验结果表明,该充电调度优化策略,能大幅度地缓解电网在充电高峰期的压力,降低充电站基础设施的成本和电动汽车用户充电的成本,以及缓解电池的退化问题。A large-scale electric vehicle charging scheduling optimization strategy based on second-order cone programming is proposed.It can find the balance point among power cost,demand charging,battery degradation cost and load fluctuation.Combined with the constraint functions,the charging scheduling of electric vehicles is optimized and the final optimization results are given.Using the ACN-Data dataset for verification,the experimental results show that the charging scheduling optimization strategy can greatly relieve the pressure of the grid during the charging peak period,reduce the cost of charging station infrastructure and the cost of charging electric vehicle users,as well as alleviate battery degradation.

关 键 词：电动汽车 充电调度优化 二阶圆锥规划 分时电价 多目标优化 

分 类 号：TM73[电气工程—电力系统及自动化]