Title :
A novel stochastic modelling approach for electric vehicle charging power and energy requirements
Author :
Fazeli, Amir ; Johnson, C. Mark ; Sumner, Mark ; Christopher, Edward
Author_Institution :
Smart Grid Res. Centre, Alstom Grid Ltd., Stafford, UK
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.
Keywords :
battery powered vehicles; load flow control; power distribution control; secondary cells; stochastic processes; EV battery charging energy requirements; deterministic control algorithm; electric vehicle charging power requirements; electricity network; electricity power system; heat electrification; intermittent renewable resources integration; low voltage distribution network; power flow regulation; stochastic modelling approach; transport electrification; Batteries; Electric vehicles; Energy consumption; Integrated circuit modeling; Power electronics; System-on-chip; Electric vehicle; distributed energy resources; electric vehicle battery; stochastic load modelling;
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
DOI :
10.1109/ISGT.2015.7131813