Many-objective charging optimization for electric vehicles considering demand response and multi-uncertainties based on Markov chain and information gap decision theory-Reference-Cited by-同舟云学术

Many-objective charging optimization for electric vehicles considering demand response and multi-uncertainties based on Markov chain and information gap decision theory

Published:2022-03 Issue: Volume:78 Page:103652
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Yan Qingyou,Lin Hongyu,Li Jinmeng,Ai Xingbei,Shi Mengshu,Zhang Meijuan,Gejirifu De

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference36 articles.

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3. Scheduling electric vehicle charging to minimise carbon emissions and wind curtailment;Dixon;Renewable Energy,2020

4. Optimum design of a multi-form energy in the presence of electric vehicle charging station and renewable resources considering uncertainty;Ebrahimi;Sustainable Energy, Grids and Networks,2020

5. Grid-friendly integration of electric vehicle fast charging station based on multiterminal DC link;Francisco de Paul García-López;International Journal of Electrical Power & Energy Systems,2020

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