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

被引:7
作者
Li, Mince [1 ]
Wang, Yujie [1 ]
Peng, Pei [1 ]
Chen, Zonghai [1 ]
机构
[1] Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
来源
GREEN ENERGY AND INTELLIGENT TRANSPORTATION | 2024年 / 3卷 / 06期
基金
中国国家自然科学基金;
关键词
Electric vehicle; Transportation network; Smart grid; System modeling methods; Optimization technology; EV CHARGING STATION; ENERGY-STORAGE SYSTEMS; HIGH PENETRATION; POWER; TIME; OPERATIONS; NAVIGATION; STRATEGY; BEHAVIOR; V2G;
D O I
10.1016/j.geits.2024.100181
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
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.
引用
收藏
页数:18
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