A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem

This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. The uncertainties in the load demand and the spinning reserve constraints are formulated in a fuzzy logic frame. The simulated annealing is used to solve the com...

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Main Author: Mantawy, A. H. (author)
Other Authors: Abdel-Magid, Y. L. (author), Abido, M. A. (author), unknown (author)
Format: article
Published: 2020
Subjects:
Online Access:https://eprints.kfupm.edu.sa/id/eprint/2547/1/a_simulated_annealing_algorithm_for_fuzz_mantawy_isip_000080989400023.pdf
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author Mantawy, A. H.
author2 Abdel-Magid, Y. L.
Abido, M. A.
unknown
author2_role author
author
author
author_facet Mantawy, A. H.
Abdel-Magid, Y. L.
Abido, M. A.
unknown
author_role author
dc.creator.none.fl_str_mv Mantawy, A. H.
Abdel-Magid, Y. L.
Abido, M. A.
unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/2547/1/a_simulated_annealing_algorithm_for_fuzz_mantawy_isip_000080989400023.pdf
A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem. 1999 IEEE TRANSMISSION AND DISTRIBUTION CONFERENCE, VOLS1 2. pp. 142-147.
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/2547/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. The uncertainties in the load demand and the spinning reserve constraints are formulated in a fuzzy logic frame. The simulated annealing is used to solve the combinatorial part of the unit commitment problem, while the nonlinear part of the problem is solved via a quadratic programming routine. A simple cooling schedule has been implemented to apply the simulated annealing test in the algorithm. Numerical results show the superiority of the solutions obtained compared to the classical methods and the simulated annealing method as individual.
eu_rights_str_mv openAccess
format article
id KFUPM_2538907dc2a5e6ee9bd7349485e07893
identifier_str_mv A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem. 1999 IEEE TRANSMISSION AND DISTRIBUTION CONFERENCE, VOLS1 2. pp. 142-147.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::2547
publishDate 2020
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling A Simulated Annealing Algorithm For Fuzzy Unit Commitment ProblemMantawy, A. H.Abdel-Magid, Y. L.Abido, M. A.unknownComputerThis paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. The uncertainties in the load demand and the spinning reserve constraints are formulated in a fuzzy logic frame. The simulated annealing is used to solve the combinatorial part of the unit commitment problem, while the nonlinear part of the problem is solved via a quadratic programming routine. A simple cooling schedule has been implemented to apply the simulated annealing test in the algorithm. Numerical results show the superiority of the solutions obtained compared to the classical methods and the simulated annealing method as individual.IEEEArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/2547/1/a_simulated_annealing_algorithm_for_fuzz_mantawy_isip_000080989400023.pdf A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem. 1999 IEEE TRANSMISSION AND DISTRIBUTION CONFERENCE, VOLS1 2. pp. 142-147. enhttps://eprints.kfupm.edu.sa/id/eprint/2547/2020info:eu-repo/semantics/openAccessoai::25472019-11-01T13:44:45Z
spellingShingle A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
Mantawy, A. H.
Computer
status_str publishedVersion
title A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
title_full A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
title_fullStr A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
title_full_unstemmed A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
title_short A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
title_sort A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/2547/1/a_simulated_annealing_algorithm_for_fuzz_mantawy_isip_000080989400023.pdf