Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part II: Applications in Transportation System Coordination and Infrastructure Planning

被引：61
|
作者：
Ding, Zhaohao [1 ]
Teng, Fei [2 ]
Sarikprueck, Piampoom [3 ]
Hu, Zechun [4 ]
机构：
[1] North China Elect Power Univ, Dept Elect & Elect Engn, Beijing 102206, Peoples R China
[2] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
[3] King Mongkuts Inst Technol Ladkrabang, Dept Elect Engn, Fac Engn, Bangkok 10520, Thailand
[4] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源：
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2020年 / 56卷 / 05期
基金：
中国国家自然科学基金; 英国经济与社会研究理事会;
关键词：
Planning; Charging stations; Biological system modeling; Optimization; Electric vehicle charging; Charging infrastructure; distribution network; electric vehicle (EV) charging demand management; planning; transportation system; OPTIMAL POWER-FLOW; DISTRIBUTION NETWORKS; OPTIMIZATION MODEL; ENERGY-STORAGE; PARKING LOTS; STATIONS; GENERATION; ALLOCATION; DEPLOYMENT; STRATEGY;
D O I：
10.1109/TIA.2020.2993760
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This article proposes a comprehensive technical review on advanced approaches for electric vehicle charging demand management. The survey is divided in two parts. The part II of this survey has two major sections that summarize the charging demand management applications on transportation system coordination and infrastructure planning. The transportation system coordination section discusses the coordinated planning and operation of transportation network and power network, while the infrastructure planning section reviews the charging infrastructure planning and coplanning applications.
引用
收藏
页码：5695 / 5703
页数：9
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