Residential Electric Vehicle Load Forecast Based on Valley Time Series Charging

doi:10.11985/2019.01.017

Abstract

Abstract:

Aiming at the shortcomings of traditional load forecasting model, a residential private electric vehicle load forecasting model is proposed based on time series valley charging in the paper, which can predict the electric vehicle load, make the orderly charging of large-scale private electric vehicles in the residential community, provide a theoretical basis for the planning of the charging station and the optimal scheduling of the distribution network. Firstly, the historical travel rules of residential private electric vehicles, the rules of residential electricity consumption and historical electricity consumption data are amalyzed. Secondly, based on the peak-to-valley time-of-use electricity price guide and making full use of the valley period for the orderly charging of electric vehicles, the charging load of the electric vehicle in the community is obtained. Finally, the electric vehicle charging load of a residential area in Lanzhou is simulated and verified. The results show that the method can more effectively and accurately predict the charging load of electric vehicles while effectively reducing the peak-to-valley difference of the grid load and the network distribution network overload rate, which has strong practicability.

Key words: Electric vehicles, load forecasting, time series charging, peak-to-valley price

CLC Number:

TM715

LI Hengjie,LV Junqing,CHEN Wei,PEI Xiping. Residential Electric Vehicle Load Forecast Based on Valley Time Series Charging[J]. Journal of Electrical Engineering, 2019, 14(1): 95-100.

Figures/Tables 2

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类型	时段
峰	06:00~22:00 T_f-b~T_f-e
谷	22:00~次日6:00 T_g-b~T_g-e

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