Staff View: Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff

Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff

Plug-in electric vehicles (PEVs) are gaining popularity as an alternative vehicle in the past few years. The charging activities of PEVs impose extra electrical load on residential distribution system as well as increasing operational cost. There are multiple conflicting requirements and constraints...

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Main Authors:	Islam, Junaid Bin Fakhrul, Rahman, Mir Toufikur, Mokhlis, Hazlie, Othman, Mohamadariff, Tengku Mohmed Noor Izam, Tengku Faiz, Mohamad, Hasmaini
Format:	Article
Published:	Tubitak Scientific & Research Council, Turkey 2020
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/37041/
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spelling	my.um.eprints.370412023-06-09T08:02:59Z http://eprints.um.edu.my/37041/ Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff Islam, Junaid Bin Fakhrul Rahman, Mir Toufikur Mokhlis, Hazlie Othman, Mohamadariff Tengku Mohmed Noor Izam, Tengku Faiz Mohamad, Hasmaini QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Plug-in electric vehicles (PEVs) are gaining popularity as an alternative vehicle in the past few years. The charging activities of PEVs impose extra electrical load on residential distribution system as well as increasing operational cost. There are multiple conflicting requirements and constraints during the charging activities. Therefore, this paper presents multiobjective PEV charging coordination based on weighted sum technique to provide simultaneous benefits to the power utilities and PEV users. The optimization problem of the proposed coordination is solved using binary particle swam optimization. The objectives of the coordination are to (i) minimize daily power loss, (ii) maximize power delivery to PEV, and (iii) minimize charging cost of PEV considering time-of-use tariff. In order to determine balance weighting factor for each of these objectives, analytic hierarchy process is applied. By using this approach, the best result of charging coordination can be achieved compared to uncoordinated charging. A 23-kV residential distribution system with 449-nodes is used to test the proposed approach. From the attained results, it is shown that the proposed method is effective in minimizing power loss and cost of charging with safe operation of distribution system. Tubitak Scientific & Research Council, Turkey 2020 Article PeerReviewed Islam, Junaid Bin Fakhrul and Rahman, Mir Toufikur and Mokhlis, Hazlie and Othman, Mohamadariff and Tengku Mohmed Noor Izam, Tengku Faiz and Mohamad, Hasmaini (2020) Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff. Turkish Journal of Electrical Engineering and Computer Sciences, 28 (3). pp. 1314-1330. ISSN 1300-0632, DOI https://doi.org/10.3906/elk-1907-189 <https://doi.org/10.3906/elk-1907-189>. 10.3906/elk-1907-189
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Islam, Junaid Bin Fakhrul Rahman, Mir Toufikur Mokhlis, Hazlie Othman, Mohamadariff Tengku Mohmed Noor Izam, Tengku Faiz Mohamad, Hasmaini Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff
description	Plug-in electric vehicles (PEVs) are gaining popularity as an alternative vehicle in the past few years. The charging activities of PEVs impose extra electrical load on residential distribution system as well as increasing operational cost. There are multiple conflicting requirements and constraints during the charging activities. Therefore, this paper presents multiobjective PEV charging coordination based on weighted sum technique to provide simultaneous benefits to the power utilities and PEV users. The optimization problem of the proposed coordination is solved using binary particle swam optimization. The objectives of the coordination are to (i) minimize daily power loss, (ii) maximize power delivery to PEV, and (iii) minimize charging cost of PEV considering time-of-use tariff. In order to determine balance weighting factor for each of these objectives, analytic hierarchy process is applied. By using this approach, the best result of charging coordination can be achieved compared to uncoordinated charging. A 23-kV residential distribution system with 449-nodes is used to test the proposed approach. From the attained results, it is shown that the proposed method is effective in minimizing power loss and cost of charging with safe operation of distribution system.
format	Article
author	Islam, Junaid Bin Fakhrul Rahman, Mir Toufikur Mokhlis, Hazlie Othman, Mohamadariff Tengku Mohmed Noor Izam, Tengku Faiz Mohamad, Hasmaini
author_facet	Islam, Junaid Bin Fakhrul Rahman, Mir Toufikur Mokhlis, Hazlie Othman, Mohamadariff Tengku Mohmed Noor Izam, Tengku Faiz Mohamad, Hasmaini
author_sort	Islam, Junaid Bin Fakhrul
title	Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff
title_short	Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff
title_full	Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff
title_fullStr	Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff
title_full_unstemmed	Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff
title_sort	combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff
publisher	Tubitak Scientific & Research Council, Turkey
publishDate	2020
url	http://eprints.um.edu.my/37041/
_version_	1769842720656850944
score	13.211869

Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff

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