Reliability Evaluation of Fast-Charging EV Station Entry to Generation and Transmission Electrical System

Article Preview

Abstract:

This paper predicts the future of rapid charging technology for EV, including its corresponding vehicle types and charging time. We choose the Monte Carlo simulation method to choose the initial charging time, initial SOC for each EV randomly, so as to get the fast charging EV load. After all these, we could have a comprehensive reliability evaluation of the generation and transmission power system includes fast charging EV load. In the end, through a matlab test example, a reliability evaluation on the impact of fast charging EV load on power generation and transmission system is made.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

1096-1100

Citation:

Online since:

December 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Report on Chongqing fast charging hybrid buses running. http: /auto. hexun. com/2012-06-18/142595581. html.

Google Scholar

[2] Zhuwei Luo, Zechun Hu, Yonghua Song, Xia Yang, Fernandez L P,San Roman T G, Cossent R, et al. Assessment of the impact of plug-in electric vehicles on distribution networks[J]. IEEE Transactions on Power Systems, 2011, 26(1): 206-213.

DOI: 10.1109/tpwrs.2010.2049133

Google Scholar

[3] Graham L. Morrison1 etc., Solar Thermal Power Systems – Stanwell Power Station Project4.

Google Scholar

[4] Network planning for EV smart charging service of State Grid Corporation at Twelfth Five-Year plan.

Google Scholar

[5] Monte Carlo methods in systems engineering A. Dolby , Weijun Hu, Xi'an Jiaotong University Press.

Google Scholar

[6] IEEE reliability test system [R]. IEEE Trans. on Power Apparatus and Systems, 1997, 98(6): 2047-2054.

Google Scholar

[7] GUO Yong-ji. Power system reliability evaluation [M]. Beijing:Tsinghua University Press, 2003.

Google Scholar