Coordination of Electric Vehicles Charging to Maximize Economic Benefits

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Coordination of Electric Vehicles Charging to Maximize Economic Benefits

Coordination of Electric Vehicles Charging to Maximize Economic Benefits

Zhang, Yongwang / Yu, Haoming / Huang, Chun / Zhao, Wei / Luo, Min

Under the constraints of distribution transformer capacity and customer charging needs, an coordinated charging model of electric vehicles is proposed to maximize the overall economic benefits of charging stations based on time periods of time-of-use(TOU) electricity price in power grids. Monte Carlo simulation method is utilized to generate the customer charging needs based on actual customer’s charging profiles. The economic benefits of charging stations is simulated under uncoordinated and coordinated charging modes correspondingly. Simulation results have indicated that the economic benefits of the charging stations can be significantly improved by responding the TOU electricity price.

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Title :

Coordination of Electric Vehicles Charging to Maximize Economic Benefits

Contributors:

Zhang, Yongwang (author) / Yu, Haoming (author) / Huang, Chun (author) / Zhao, Wei (author) / Luo, Min (author)

Published in:

CCPR, Chinese Conference on Pattern Recognition, 6 ; 508-517

Communications in Computer and Information Science ; 484

Publication date :

2014

Size :

10 Seiten

ISBN :

978-3-662-45643-9 , 978-3-662-45642-2

ISSN :

DOI :

https://doi.org/10.1007/978-3-662-45643-9_54

Type of media :

Conference paper

Type of material :

Print

Language :

English

Keywords :

Monte-Carlo-Methode , Informatik , Mustererkennung , Biometrie , Ladestation , Elektrofahrzeug , Elektrizität , Robotik , Verteilungstransformator , elektrisches Stromversorgungsnetz , simuliertes Ergebnis , Computer-Vision

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