Charging Load Forecasting of Electric Vehicle Based on Charging Frequency

4th International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Wang, H.J.^1 ; Wang, B.^2 ; Fang, C.^1 ; Li, W.^2 ; Huang, H.W.^1

State Grid Shanghai Electric Power Research Institute, Shanghai

200437, China^1

College of Energy and Electrical Engineering, Hohai University, Nanjing

211100, China^2

关键词: Charging loads;    Charging modes;    Electric Vehicles (EVs);    Monte carlo algorithms;    Operating pressure;    Private cars;    State of charge;    Travel surveys;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/6/062008/pdf
DOI  :  10.1088/1755-1315/237/6/062008

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The rapid development of electric vehicles (EVs) will gradually increase the operating pressure of the power grid. The charging load of EVs need to be predicred to release this pressure. In this paper, the influence factors of EV charging load are analyzed and the load curve of different charging modes is obtained. According to the 2009 American families travel survey, EVs are divided into three types: private cars, buses and taxis. Then, different EVs' charging frequency, together with the starting point for state of charge (SOC) and daily mileage can be calculated. Correspondingly, the probability density function model can be established. Finally, the daily charging load is calculated by Monte Carlo algorithm, which provides the basis for the research of orderly EV charging.