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

Fazeli, Amir, Johnson, Christopher Mark, Sumner, M. and Christopher, Edward (2015) A novel stochastic modelling approach for electric vehicle charging power and energy requirements. In: 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 18-20 February 2015, Washington, USA.

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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.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/744783
Keywords: Electric vehicle, stochastic load modelling, electric vehicle battery, distributed energy resources
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Depositing User: Burns, Rebecca
Date Deposited: 29 Jun 2017 10:52
Last Modified: 04 May 2020 17:02
URI: https://eprints.nottingham.ac.uk/id/eprint/43411

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