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

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

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. A novel stochastic modelling approach for electric vehicle charging power and energy requirements. Presented at 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)

• 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: https://nottingham-repository.worktribe.com/output/744783
• Publisher URL: http://ieeexplore.ieee.org/document/7131813/
• Contract Date: Jun 29, 2017