电力建设2023，Vol.44Issue(12)：161-173,13.DOI:10.12204/j.issn.1000-7229.2023.12.014
电动汽车充电负荷时空分布预测研究综述
Overview of Research on Spatiotemporal Distribution Prediction of Electric Vehicle Charging
摘要
Abstract
With national targets for carbon peaking and carbon neutrality,electric vehicles(EVs)are gaining popularity owing to their advantages of being green,low-carbon,energy-saving,and environmentally friendly.EVs have both load and energy storage characteristics,and their charge-discharge behavior is random and fluctuates in time and space.Accurate prediction of the spatiotemporal distribution of EV charging and discharging loads is the basis for studying the influence of EV entering the grid,power grid planning and operation,and interaction with the power grid.The main factors influencing the prediction of the spatiotemporal distribution of the EV charging load are analyzed.The modeling of the charging load and prediction method for the spatial and temporal distributions are systematically described.Considering that electric vehicles can be used as mobile energy-storage devices to participate in grid interactions,the discharge potential is evaluated,and the research scenario of V2G technology is reviewed.Finally,the challenges faced by existing research methods are summarized and discussed.关键词
电动汽车/负荷预测/影响因素/时空分布/V2GKey words
electric vehicle/load prediction/affecting factors/spatiotemporal distribution/V2G分类
信息技术与安全科学引用本文复制引用
张夏韦,梁军,王要强,韩婧..电动汽车充电负荷时空分布预测研究综述[J].电力建设,2023,44(12):161-173,13.基金项目
This work is supported by National Natural Science Foundation of China(No.51507155)and Henan Province Key R&D and Promotion Special Project(No.222102520001).国家自然科学基金项目(51507155) （No.51507155）
河南省重点研发与推广专项项目(222102520001) （222102520001）
