Open AccessVoltage‐dependent modelling of fast charging electric vehicle load considering battery characteristics
Author(s) -
Shukla Akanksha,
Verma Kusum,
Kumar Rajesh
Publication year - 2018
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
ISSN - 2042-9746
DOI - 10.1049/iet-est.2017.0096
Subject(s) - exponential function , battery (electricity) , automotive engineering , electric vehicle , power (physics) , voltage , state of charge , exponential distribution , constant current , control theory (sociology) , electrical impedance , electrical engineering , computer science , engineering , mathematics , physics , statistics , quantum mechanics , mathematical analysis , control (management) , artificial intelligence
Electric vehicle (EV) integration into the power grids is increasing rapidly. To analyse the effect of charging of EVs on the distribution system, most of the literature considered EV load as constant power load (CPL) which do not represent the exact behaviour of these uncertain loads. An accurate EV load modelling is developed by determining the relationship between power consumption by EV, grid voltage and state of charges of fast charging EV load. The derived relationship is validated by simulating a realistic fast charging system to obtain a battery charging behaviour characteristics and is curve fitted on standard exponential load model. Further the impact of stochastic 24‐h load profile of fast charging EVs considering the exponential load model is investigated on IEEE 123 bus distribution system and is compared with the constant impedance‐constant current‐constant power (ZIP) load model and CPL model. The stochastic 24‐h load is developed using queuing analysis‐based method. The results show that the exponential load model is the better representation of fast charging EV load and 10.19% of the reduction in annual energy demand and 11.19% of the reduction in annual energy loss is observed for exponential load model compared to the existing CPL model.