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A novel stochastic modelling approach for electric vehicle charging power and energy requirements

Fazeli, Amir; Johnson, Christopher Mark; Sumner, M.; Christopher, Edward

Authors

Amir Fazeli

MARK JOHNSON mark.johnson@nottingham.ac.uk
Professor of Advanced Power Conversion

MARK SUMNER mark.sumner@nottingham.ac.uk
Professor of Electrical Energy Systems

Edward Christopher



Abstract

Electrification of heat and transport in addition to integration of intermittent renewable resources into the existing electricity network is expected to occur in near future. Such a transformation is expected to force the operation of the electricity power system at different levels to its limits. A novel bottom up modelling approach for quantifying temporal variation of electric vehicle charging power and energy is presented in this paper which can be used to accurately investigate the effect of charging different penetration levels of electric vehicles within the low voltage distribution network. This EV charging model is further used for development of a deterministic control algorithm for regulating power flows at the low voltage level.

Citation

Fazeli, A., Johnson, C. M., Sumner, M., & Christopher, E. (2015). A novel stochastic modelling approach for electric vehicle charging power and energy requirements

Conference Name 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
End Date Feb 20, 2015
Acceptance Date Nov 1, 2014
Online Publication Date Jun 25, 2015
Publication Date Feb 18, 2015
Deposit Date Jun 29, 2017
Publicly Available Date Jun 29, 2017
Peer Reviewed Peer Reviewed
Keywords Electric vehicle, stochastic load modelling, electric vehicle battery, distributed energy resources
Public URL http://eprints.nottingham.ac.uk/id/eprint/43411
Publisher URL http://ieeexplore.ieee.org/document/7131813/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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