Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton-Reference-Cited by-同舟云学术

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Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton

Published:2018-02-05 Issue:4 Volume:6 Page:816-820
ISSN:2196-5625
Container-title:Journal of Modern Power Systems and Clean Energy
language:en
Short-container-title:J. Mod. Power Syst. Clean Energy

Author:

XIANG Yue^ORCID,LIU Zipeng,LIU Jichun,LIU Youbo,GU Chenghong

Funder

Scientific Foundation for Talented Program of Sichuan University

Publisher

Springer Science and Business Media LLC

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

http://link.springer.com/article/10.1007/s40565-018-0379-3/fulltext.html

Reference13 articles.

1. Xiang Y, Liu JY, Ran Li et al (2016) Economic planning of electric vehicle charging stations considering traffic constraints and load templates. Appl Energy 178:647–659

2. Mukherjee JC, Gupta A (2017) Distributed charge scheduling of plug-in electric vehicles using inter-aggregator collaboration. IEEE Trans Smart Grid 8(1):331–341

3. Panahi D, Deilami S, Masoum MAS et al (2015) Forecasting plug-in electric vehicles load profile using artificial neural networks. In: Proceedings of 2015 Australasian universities power engineering conference (AUPEC), Wollongong, Australia, 27–30 September 2015, 6 pp

4. Shuai W, Maillé P, Pelov A (2016) Charging electric vehicles in the smart city: a survey of economy-driven approaches. IEEE Trans Intell Transp Syst 17(8):2089–2106

5. Tian L, Shi S, Jia Z (2010) A statistical model for charging power demand of electric vehicles. Power Syst Technol 34(11):126–130

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