Fair charging strategies for EVs connected to a low-voltage distribution network

Mingming Liu, Paul McNamara, Seán McLoone

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

The development of smart grid technologies and appropriate charging strategies are key to accommodating large numbers of Electric Vehicles (EV) charging on the grid. In this paper a general framework is presented for formulating the EV charging optimization problem and three different charging strategies are investigated and compared from the perspective of charging fairness while taking into account power system constraints. Two strategies are based on distributed algorithms, namely, Additive Increase and Multiplicative Decrease (AIMD), and Distributed Price-Feedback (DPF), while the third is an ideal centralized solution used to benchmark performance. The algorithms are evaluated using a simulation of a typical residential low voltage distribution network with 50% EV penetration.

Original languageEnglish
Title of host publication2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
DOIs
Publication statusPublished - 01 Dec 2013
Event2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 - Lyngby, Denmark
Duration: 06 Oct 201309 Oct 2013

Conference

Conference2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
CountryDenmark
CityLyngby
Period06/10/201309/10/2013

Keywords

  • demand side management
  • distributed algorithms
  • electric vehicle charging
  • smart grid

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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  • Cite this

    Liu, M., McNamara, P., & McLoone, S. (2013). Fair charging strategies for EVs connected to a low-voltage distribution network. In 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 [6695268] https://doi.org/10.1109/ISGTEurope.2013.6695268