Electric vehicle hosting capacity analysis: Challenges and solutions

被引:14
|
作者
Karmaker, Ashish Kumar [1 ,2 ,4 ]
Prakash, Krishneel [1 ]
Siddique, Md Nazrul Islam [1 ]
Hossain, Md Alamgir [3 ]
Pota, Hemanshu [1 ]
机构
[1] Univ New South Wales, Sch Engn & Informat Technol, Canberra, ACT 2612, Australia
[2] Dhaka Univ Engn & Technol, Gazipur 1707, Bangladesh
[3] Griffith Univ, Queensland Micro & Nanotechnol Ctr, Nathan, Qld 4111, Australia
[4] Univ New South Wales, Canberra, ACT 2612, Australia
来源
关键词
Electric vehicles; Hosting capacity; Distribution networks; Hosting capacity assessment methods; Hosting capacity enhancement technologies; DISTRIBUTED GENERATION; INTEGRATION; NETWORKS; PREDICTION; MANAGEMENT; BEHAVIOR; SYSTEMS;
D O I
10.1016/j.rser.2023.113916
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The significant rise of electric vehicles (EVs) and distributed energy resources (DERs) poses critical challenges to the distribution systems for maintaining statutory limits of technical and operating constraints. This review investigates the challenges and explores innovative solutions for EV hosting capacity analysis in the distribution network based on existing literature and industry reports published in recent years (2014-2023). The study emphasizes the significance of multiple performance constraints, scenarios, availability of data, and methods in hosting capacity analysis. In addition, it provides insights into the technical aspects, performance, and practi-cability issues of open-source and commercial tools for assessing hosting capacity. The study also highlights industrial hosting capacity projects in international and Australian contexts, showcasing the importance of region-specific integration capacity analysis due to diverse EV profiles, charging facilities, and network topol-ogies. Based on the existing research and industry reports, active network management, flexible operating limits, demand response, optimal placement methods, and network reconfiguration are identified as promising solutions for hosting capacity enhancement. The review concludes by discussing future research scopes, considering ac-curacy, computational time, and data requirements for EV hosting capacity analysis to guide the researchers and the distribution grid planners.
引用
收藏
页数:18
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