多目标优化的高渗透率电动汽车有序充电策略
Multi-objective Optimized Ordered Charging of High Permeability Electric Vehicle Parks
张芮华 1马永翔 1闫群民 1孔志战 2淡文国3
作者信息
- 1. 陕西理工大学电气工程学院,陕西 汉中 723000
- 2. 陕西省电力有限公司,陕西 西安 710004
- 3. 乌兰察布电业局,内蒙古 乌兰察布 012000
- 折叠
摘要
电动汽车作为一种新型负载,其大量无序充电行为给电网造成了压力,影响了电网的稳定和经济性,因此提出了一种基于分时电价的电动汽车有序充电策略.以电动汽车为研究主体,分析充电模式因素对电动汽车充电负荷的影响,并引用蒙特卡洛法对预测充电负荷进行计算.在此基础上,结合分时电价建立一个以负荷峰谷差最小和用户充电费用最低为目标的多目标模型,采用改进非支配排序遗传(NSGA-II)算法对目标函数进行求解,对比不同渗透率下的优化结果.结果表明,该控制策略降低了充电成本、减小了峰谷差,实现了负荷曲线的"削峰填谷",且随渗透率的增加,优化效果更为显著.
Abstract
The extensive and unregulated charging habits of electric vehicles,a novel form of load,have placed a strain on the power grid,impacting its economical and secure functioning.Thus this work studied and proposed a systematic electric vehicle charging method influenced by time-of-use electricity rates.The study focused on electric private cars,and exam-ined the effects of various factors such as charging modes on charging load of these vehicles.By utilizing Monte Carlo method,a predicted charging load is computed.Furthermore,a multi-objective ordered charging model was suggested,which took into account time-of-use rates and of which minimum peak-valley load difference and lowest user charging cost were set as objectives.Using multi-objective genetic algorithm,the objective function was solved and the optimization re-sults with different permeability were compared.The proposed method was shown capable of reducing charging costs and decreasing discrepancy between peak and valley,and thereby effective in enabling"peak shaving and valley filling"in the load curve.It was also observed that with the increase of permeability,the optimization effect became more significant.
关键词
电动汽车/有序充电/多目标优化/负荷调峰/NSGA-II/峰谷电价/配网系统/优化策略Key words
electric vehicle/ordered charging/multi-objective optimization/peak load regulation/NSGA-II/peak-valley electricity rate/distribution network/optimization strategy引用本文复制引用
出版年
2024
NETL
NSTL
万方数据