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On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles

Transportation electrification has undergone major changes since the last decade. Success of smart grid with renewable energy integration solely depends upon the large-scale penetration of plug-in hybrid electric vehicles (PHEVs) for a sustainable and carbon-free transportation sector. One of the ke...

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Main Authors: Rahman, I., Vasant, P.M., Singh, B.S.M., Abdullah-Al-Wadud, M.
Format: Article
Published: Elsevier B.V. 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960811316&doi=10.1016%2fj.aej.2015.11.002&partnerID=40&md5=21ff711fe6164569ac1845a07d4d2682
http://eprints.utp.edu.my/25585/
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spelling my.utp.eprints.255852021-08-27T09:05:55Z On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles Rahman, I. Vasant, P.M. Singh, B.S.M. Abdullah-Al-Wadud, M. Transportation electrification has undergone major changes since the last decade. Success of smart grid with renewable energy integration solely depends upon the large-scale penetration of plug-in hybrid electric vehicles (PHEVs) for a sustainable and carbon-free transportation sector. One of the key performance indicators in hybrid electric vehicle is the State-of-Charge (SoC) which needs to be optimized for the betterment of charging infrastructure using stochastic computational methods. In this paper, a newly emerged Accelerated particle swarm optimization (APSO) technique was applied and compared with standard particle swarm optimization (PSO) considering charging time and battery capacity. Simulation results obtained for maximizing the highly nonlinear objective function indicate that APSO achieves some improvements in terms of best fitness and computation time. © 2015 Faculty of Engineering, Alexandria University. Elsevier B.V. 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960811316&doi=10.1016%2fj.aej.2015.11.002&partnerID=40&md5=21ff711fe6164569ac1845a07d4d2682 Rahman, I. and Vasant, P.M. and Singh, B.S.M. and Abdullah-Al-Wadud, M. (2016) On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles. Alexandria Engineering Journal, 55 (1). pp. 419-426. http://eprints.utp.edu.my/25585/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Transportation electrification has undergone major changes since the last decade. Success of smart grid with renewable energy integration solely depends upon the large-scale penetration of plug-in hybrid electric vehicles (PHEVs) for a sustainable and carbon-free transportation sector. One of the key performance indicators in hybrid electric vehicle is the State-of-Charge (SoC) which needs to be optimized for the betterment of charging infrastructure using stochastic computational methods. In this paper, a newly emerged Accelerated particle swarm optimization (APSO) technique was applied and compared with standard particle swarm optimization (PSO) considering charging time and battery capacity. Simulation results obtained for maximizing the highly nonlinear objective function indicate that APSO achieves some improvements in terms of best fitness and computation time. © 2015 Faculty of Engineering, Alexandria University.
format Article
author Rahman, I.
Vasant, P.M.
Singh, B.S.M.
Abdullah-Al-Wadud, M.
spellingShingle Rahman, I.
Vasant, P.M.
Singh, B.S.M.
Abdullah-Al-Wadud, M.
On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles
author_facet Rahman, I.
Vasant, P.M.
Singh, B.S.M.
Abdullah-Al-Wadud, M.
author_sort Rahman, I.
title On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles
title_short On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles
title_full On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles
title_fullStr On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles
title_full_unstemmed On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles
title_sort on the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles
publisher Elsevier B.V.
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960811316&doi=10.1016%2fj.aej.2015.11.002&partnerID=40&md5=21ff711fe6164569ac1845a07d4d2682
http://eprints.utp.edu.my/25585/
_version_ 1738656750850015232
score 13.211869

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