Toward efficient smart management:A review of modeling and optimization approaches in electric vehicle-transportation network-grid integration  

作　　者：Mince Li Yujie Wang Pei Peng Zonghai Chen 

机构地区：[1]Department of Automation,University of Science and Technology of China,Hefei 230027,China

出　　处：《Green Energy and Intelligent Transportation》2024年第6期92-108,共17页新能源与智能载运(英文)

基　　金：supported partly by the National Natural Science Foundation of China under No.91848111;partly by the Natural Science Foundation of Anhui Province under Grant No.2208085UD12.

摘　　要：The increasing scale of electric vehicles(EVs)and their stochastic charging behavior have resulted in a growing coupling between the transportation network and the grid.Consequently,effective smart management in the EVtransportation network-grid integration system has become paramount.This paper presents a comprehensive review of the current state of the art in system modeling and optimization approaches for the smart management of this coupled system.We begin by introducing the types of EVs that impact the transportation and grid systems through their charging behavior,along with an exploration of charging levels.Subsequently,we delve into a detailed discussion of the system model,encompassing EV charging load forecasting models and transportationgrid coupling models.Furthermore,optimization technologies are analyzed from the perspectives of system planning and EV charging scheduling.By thoroughly reviewing these key scientific issues,the latest theoretical techniques and application results are presented.Additionally,we address the challenges and provide future outlooks for research in modeling and optimization,aiming to offer insights and inspiration for the development and design of the EV-transportation network-grid integration system.

关 键 词：Electric vehicle Transportation network Smart grid System modeling methods Optimization technology 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]