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   影响因子和分区

2196-5420

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

EI ; SCI

第一

20234314939325

Behavioral research ; Charging (batteries) ; Computational efficiency ; Electric loads ; Electric power distribution ; Electric vehicles

Ergonomics and Human Factors Engineering:461.4 ; Secondary Batteries:702.1.2 ; Electric Power Systems:706.1 ; Electric Power Distribution:706.1.2 ; Probability Theory:922.1 ; Social Sciences:971

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.