Combinatorial Optimization of Electric Vehicle Charging in AC Power Distribution Networks

Majid Khonji, Sid Chi Kin Chau, Khaled Elbassioni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageBritish English
Title of host publication2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538679548
DOIs
StatePublished - 24 Dec 2018
Event2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018 - Aalborg, Denmark
Duration: 29 Oct 201831 Oct 2018

Publication series

Name2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018

Conference

Conference2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018
Country/TerritoryDenmark
CityAalborg
Period29/10/1831/10/18

Fingerprint

Dive into the research topics of 'Combinatorial Optimization of Electric Vehicle Charging in AC Power Distribution Networks'. Together they form a unique fingerprint.

Cite this