@inproceedings{afe8383faf124276ad99a139afa3bd00,
title = "Quality of Service Oriented Impact Analysis on Power Systems Considering EV Dynamics",
abstract = "As an important part of transportation electrifycation, the increasing electric vehicles (EVs) have drawn a growing concern about their impacts on power systems. Charging stations (CSs), which aggregate the EVs' charging demand and provide charging services to them, are suitable for the study of the impacts of the moving EV loads. In this paper, a probabilistic model based on the spatial-temporal dynamics of moving EVs is applied to model the EV charging demand at various locations and time. A network calculus based QoS model, where the CSs' charging services are modeled as the arrival and departure of energy flows, is proposed and used to evaluate the QoS performance of the CSs. Simulations are conducted within a proposed integrated traffic-power system based on IEEE-30 bus test system and the results are presented to study the impacts of the moving EV loads on each bus voltage and the QoS performance of the CSs' charging services under different service policies.",
keywords = "Electric vehicle, Integrated traffic-power system, Load modelling, Network calculus, Quality of service",
author = "Xiaochuan Liu and Tianyang Zhao and Peng Wang and Soh, \{Cheong Boon\}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Power and Energy Society General Meeting, PESGM 2018 ; Conference date: 05-08-2018 Through 10-08-2018",
year = "2018",
month = dec,
day = "21",
doi = "10.1109/PESGM.2018.8586250",
language = "英语",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
booktitle = "2018 IEEE Power and Energy Society General Meeting, PESGM 2018",
}
