Community electric vehicle load forecasting based on time series distribution

doi:10.1088/1742-6596/1314/1/012033

	Community electric vehicle load forecasting based on time series distribution
	Li, Hengjie 1,2,3; Zhu, Yueyang 1,2,3; Chen, Wei 1,2,3; Lv, Junqing 1,2,3; Zeng, Xianqiang 1,2,3
	2019-11-06
会议日期	August 9, 2019 - August 11, 2019
会议地点	Guizhou, China
关键词	Charging time Electric load distribution Electric power plant loads Electric power system planning Electric power transmission networks Electric vehicles Forecasting Housing Landforms Charging loads Discharging characteristics Electric vehicle charging Electricity prices Power grids Power system planning Residential areas Vehicle load
卷号	1314
期号	1
DOI	10.1088/1742-6596/1314/1/012033
英文摘要	Electric vehicle charging load forecasting helps power system planning management and optimization. This paper proposes a residential private electric vehicle load forecasting model based on positive-reverse valley time charging, which predicts the load while satisfying the orderly charging of large-scale private electric vehicles in residential areas. Firstly, it analyzes the historical travel rules of private electric vehicles in the community and the charging and discharging characteristics of electric vehicles. Secondly, based on the peak-to- valley time-of-use(TOU) electricity price, the owner of the vehicle is fully utilized to make the electric vehicle orderly charging, so as to obtain the total charging load of the electric vehicle in the community; Finally, the actual data is used to predict the change of the load curve of private electric vehicles in the future after large-scale access to the grid. It is found that under the scenario of disorderly charging of private electric vehicles, the larger volume of the grid has the greater difference between the peaks and valleys of the grid. Through further calculations, it is found that the use of valley time charging can alleviate the impact of the electric vehicle charging load on the power grid to a certain extent. That also can effectively reduce the peak-to-valley difference of the grid load and residential area distribution network overload rate. © Published under licence by IOP Publishing Ltd.
会议录	Journal of Physics: Conference Series
会议录出版者	Institute of Physics Publishing
语种	英语
ISSN号	17426588
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/118062]
专题	电气工程与信息工程学院
作者单位	1.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou; 730050, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 3.National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Li, Hengjie,Zhu, Yueyang,Chen, Wei,et al. Community electric vehicle load forecasting based on time series distribution[C]. 见:. Guizhou, China. August 9, 2019 - August 11, 2019.