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


Autoria(s): Liu, Mingming; McNamara, Paul; McLoone, Seán
Data(s)

01/12/2013

Resumo

<p>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. © 2013 IEEE.</p>

Identificador

http://pure.qub.ac.uk/portal/en/publications/fair-charging-strategies-for-evs-connected-to-a-lowvoltage-distribution-network(8d382bbe-7fa0-4441-b6bc-5a538aaa95a2).html

http://dx.doi.org/10.1109/ISGTEurope.2013.6695268

http://www.scopus.com/inward/record.url?scp=84893562930&partnerID=8YFLogxK

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

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 , 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 , Lyngby , Denmark , 6-9 October . DOI: 10.1109/ISGTEurope.2013.6695268

Palavras-Chave #demand side management #distributed algorithms #electric vehicle charging #smart grid #/dk/atira/pure/subjectarea/asjc/1700/1701 #Computer Science (miscellaneous)
Tipo

contributionToPeriodical