@inproceedings{9f0108efb1c540e9992d84446efa6a1c,
title = "Combinatorial Optimization of Electric Vehicle Charging in AC Power Distribution Networks",
abstract = "This paper studies the scheduling optimization problem of electric vehicle (EV) charging considering two salient characteristics: (1) discrete charging rates with minimum power requirements in common EV charging standards, and (2) nodal voltage and line capacity constraints of alternating current (AC) power flows in electricity distribution networks. We present approximation algorithms to solve scheduling optimization problem of EV charging, which have a provably small parameterized approximation ratio. Simulations show our algorithms can produce close-to-optimal solutions in practice.",
author = "Majid Khonji and Chau, {Sid Chi Kin} and Khaled Elbassioni",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018 ; Conference date: 29-10-2018 Through 31-10-2018",
year = "2018",
month = dec,
day = "24",
doi = "10.1109/SmartGridComm.2018.8587497",
language = "British English",
series = "2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018",
address = "United States",
}