Planning of electric vehicle charging stations and distribution system with highly renewable penetrations-Reference-Cited by-同舟云学术

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Planning of electric vehicle charging stations and distribution system with highly renewable penetrations

Published:2021-03-25 Issue:3 Volume:11 Page:256-268
ISSN:2042-9738
Container-title:IET Electrical Systems in Transportation
language:en
Short-container-title:IET Electrical Systems in Transportation

Author:

Zhang Jingqi¹^ORCID,Wang Shu²,Zhang Cuo¹,Luo Fengji³^ORCID,Dong Zhao Yang¹,Li Yingliang⁴

Affiliation:

1. School of Electrical Engineering and Telecommunications University of New South Wales Sydney Australia

2. School of Automobile Chang'an University Xi'an China

3. School of Civil Engineering University of Sydney Sydney Australia

4. School of Electronic Engineering Xi'an Shiyou University Xi'an China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/els2.12022

Reference29 articles.

1. Impact of Electric Vehicles on the Expansion Planning of Distribution Systems Considering Renewable Energy, Storage, and Charging Stations

2. Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids

3. Robust Joint Expansion Planning of Electrical Distribution Systems and EV Charging Stations

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient expansion planning of modern multi-energy distribution networks with electric vehicle charging stations: A stochastic MILP model;Sustainable Energy, Grids and Networks;2024-06

2. Design and Analysis of a Peak Time Estimation Framework for Vehicle Occurrences at Solar Photovoltaic and Grid-Based Battery-Swappable Charging Stations;Sustainability;2023-11-21

3. Reliability oriented techno- economic assessment of fast charging stations with photovoltaic and battery systems in paired distribution & urban network;Journal of Energy Storage;2023-11

4. Multi-objective two-level planning optimization method for distribution network based on network loss model and adaptive fruit fly algorithm;2023 3rd International Conference on Intelligent Power and Systems (ICIPS);2023-10-20

5. A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes;IEEE Transactions on Sustainable Energy;2023-10

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