Research on the assessment of the capacity of urban distribution networks to accept electric vehicles based on the improved TOPSIS method-Reference-Cited by-同舟云学术

Research on the assessment of the capacity of urban distribution networks to accept electric vehicles based on the improved TOPSIS method

Published:2021-06-08 Issue:19 Volume:15 Page:2804-2818
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET gener. transm. distrib.

Author:

Zhang Meixia¹,Sun Quanjie¹^ORCID,Yang Xiu¹

Affiliation:

1. College of Electrical Engineering Shanghai University of Electric Power Shanghai 200090 People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12216

Reference25 articles.

1. SHUPEIDIAN.BJX.COM.CN.https://shupeidian.bjx.com.cn/html/20200623/1083318.shtml. Accessed 23 June 2020

2. Charging demand for electric vehicle based on stochastic analysis of trip chain

3. A model for electric vehicle charging load forecasting based on trip chains;Chen L.;Transactions of China Electrotechnical Society,2015

4. Trip simulation based charging load forecasting model and vehicle‐to‐grid evaluation of electric vehicles;Li H.;Automation of Electric Power Systems,2019

5. Spatial‐temporal distribution prediction of charging load for electric vehicles based on dynamic traffic information;Li X.;Power System Protection and Control,2020

Cited by 11 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. Confidence relative off-targets distance-based multi-dimensional transparency evaluation of distribution station area;Frontiers in Energy Research;2024-01-16

2. Low Carbon Evaluation Method of Transformer Area Considering Carbon Reduction Potential in User Side;2023 4th International Conference on Advanced Electrical and Energy Systems (AEES);2023-12-01

3. Dynamic Evolution and Trend Analysis of the Coupling Coordination Between Sci-Tech Popularization and Sci-Tech Innovation in China;SAGE Open;2023-10

4. Research on Peak Load Prediction of Distribution Network Lines Based on Prophet-LSTM Model;Sustainability;2023-07-28

5. Determinants of Low-Carbon Logistics Capability Based on Dynamic fsQCA: Evidence from China’s Provincial Panel Data;Sustainability;2023-07-21