摘要
针对电动汽车充电负荷优化效果差的问题,从电价引导对电动汽车有序充电负荷的影响方面开展研究。分析电动汽车充电概率和行驶里程统计数据,获取汽车负荷分布特性;结合用户用电需求,构建峰谷分时电价引导模型;介绍需求侧响应理论,分析电价引导下电动汽车有序充电行为,计算电动汽车有序充电负荷;通过生成充电负荷影响曲线,获取有序充电负荷的影响结果。实验结果表明,随着电价引导响应系数的增大,电动汽车充电负荷曲线呈现出削峰填谷的趋势。基于影响研究结果进行负荷优化,其负荷优化效果较好,使得日负荷峰谷差从优化前的8.5 MW,经优化后降低至1.6 MW,充电成本明显降低,证明所提优化方法能够有效确保充电负荷均衡。
Aiming at the problem of poor optimization effect of electric vehicle charge load,this paper studies the influence of electricity price guidance on orderly charging load of electric vehicles.Analyze the charge probability and mileage statistics of electric vehicles,and obtain the vehicle load distribution characteristics.Combined with the power demand of users,the guidance model of peak valley TOU price is constructed.Introduces the demand side response theory,the orderly charge behavior of electric vehicles under the guidance of electricity price is analyzed,and the orderly charge load of electric vehicles is calculated.By generating the influence curve of charge load,the influence results of orderly charge load are obtained.The experimental results show that with the increase in electricity price guidance response coefficient,the charge load curve of electric vehicle shows the trend of cutting peak and filling valley.Based on the impact research results,the load optimization effect is significant,so that the daily load peak valley difference is reduced from 8.5 MW before optimization to 1.6 MW after optimization,the charging cost is obviously reduced.It is proved that the proposed optimization method can effectively ensure the balance of charge load.
作者
胡嘉
郭世萍
陈博
HU Jia;GUO Shiping;CHEN Bo(State Grid Hebei Marketing Service Center,Shijiazhuang 050035,China)
出处
《河北电力技术》
2022年第5期34-38,共5页
Hebei Electric Power
基金
国网河北省电力有限公司科技项目(kj2020-085)。
关键词
电动汽车
电价引导
有序充电
充电负荷
时空分布
electric vehicle
electricity price guidance
orderly charge
charge load
temporal and spatial distribution characteristics
