Electric Vehicle Charging Scheduling Strategy for Supporting Load Flattening under Uncertain Electric Vehicle Departures

Han Wang1; Mengge Shi2; Peng Xie2; Chun Sing Lai3; Kang Li4; Youwei Jia2

2022

10.35833/MPCE.2022.000220

Journal of Modern Power Systems and Clean Energy   Impact Factor & Quartile

2196-5420

Electric vehicle (EV) EV fleets uncertain departure user convenience distributed solution

First

IEEE

1.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK
2.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
3.Brunel Interdisciplinary Power Systems Research Centre, Department of Electronic and Electrical Engineering, Brunel University London, London UB8 3PH, UK
4.School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK

Han Wang,Mengge Shi,Peng Xie,et al. Electric Vehicle Charging Scheduling Strategy for Supporting Load Flattening under Uncertain Electric Vehicle Departures[J]. Journal of Modern Power Systems and Clean Energy,2022,PP(99):1-12.

Han Wang,Mengge Shi,Peng Xie,Chun Sing Lai,Kang Li,&Youwei Jia.(2022).Electric Vehicle Charging Scheduling Strategy for Supporting Load Flattening under Uncertain Electric Vehicle Departures.Journal of Modern Power Systems and Clean Energy,PP(99),1-12.

Han Wang,et al."Electric Vehicle Charging Scheduling Strategy for Supporting Load Flattening under Uncertain Electric Vehicle Departures".Journal of Modern Power Systems and Clean Energy PP.99(2022):1-12.