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Electrical Engineering
Erschienen in: Electrical Engineering 1/2020

27.11.2019 | Original Paper

Optimal charging of large-scale electric vehicles over extended time scales

verfasst von: Hao Xu, Xinjue Xia, Wenwu Liang, Lei Zhang, Guoqin Dong, Yabin Yan, Bin Yu, Fan Ouyang, Weijun Zhu, Haifeng Liu

Erschienen in: Electrical Engineering | Ausgabe 1/2020

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Abstract

The multi-day spaced charging, hardly considered in current strides aiming at optimal electric vehicle charging, is the concern of this study, and thus, an extended time scale covering several days should be dealt with. This study firstly analyzed the routines and implementations of charging behaviors over the extended time scale and then quantified the range of charging start time of electric vehicles precisely, which turned out to be discontinuous, huge and complicated. Finally, the mathematical formulation of the optimal charging strategy over the extended time scale as well as its constraints was established. The proposed problem can be solved by MATLAB simulations, which was addressed in details. Moreover, numerous simulations were conducted and demonstrated that the proposed strategy can reach a better system load characteristics than the ordered charging on a daily basis with a good maneuverability.
Vorheriger Artikel A hybrid short-term load forecasting model developed by factor and feature selection algorithms using improved grasshopper optimization algorithm and principal component analysis
Nächster Artikel Determination of the most effective switching signal and position of braking resistor in DFIG wind turbine under transient conditions

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Metadaten
Titel
Optimal charging of large-scale electric vehicles over extended time scales
verfasst von
Hao Xu
Xinjue Xia
Wenwu Liang
Lei Zhang
Guoqin Dong
Yabin Yan
Bin Yu
Fan Ouyang
Weijun Zhu
Haifeng Liu
Publikationsdatum
27.11.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 1/2020
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-019-00887-6

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