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Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization

In this research, authors have exploited particle swarm optimization (PSO) technique for solving the emission dispatch problem. Authors have used cubic function, instead of quadratic function, to solve emission dispatch problem to make the system more robust against nonlinearities of actual power ge...

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Main Authors: Mahdi, F.P., Vasant, P., Kallimani, V., Fai, P.S.Y., Wadud, M.A.
Format: Article
Published: Universiti Teknikal Malaysia Melaka 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011321099&partnerID=40&md5=018a93f9f37e7495aee737423c7627b0
http://eprints.utp.edu.my/25905/
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spelling my.utp.eprints.259052021-08-27T13:09:54Z Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization Mahdi, F.P. Vasant, P. Kallimani, V. Fai, P.S.Y. Wadud, M.A. In this research, authors have exploited particle swarm optimization (PSO) technique for solving the emission dispatch problem. Authors have used cubic function, instead of quadratic function, to solve emission dispatch problem to make the system more robust against nonlinearities of actual power generator. PSO with cubic function reveals better results by optimizing less emission of hazardous gases, transmission losses and showing robustness against nonlinearities than simplified direct search method (SDSM). Universiti Teknikal Malaysia Melaka 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011321099&partnerID=40&md5=018a93f9f37e7495aee737423c7627b0 Mahdi, F.P. and Vasant, P. and Kallimani, V. and Fai, P.S.Y. and Wadud, M.A. (2016) Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization. Journal of Telecommunication, Electronic and Computer Engineering, 8 (12). pp. 17-21. http://eprints.utp.edu.my/25905/
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 In this research, authors have exploited particle swarm optimization (PSO) technique for solving the emission dispatch problem. Authors have used cubic function, instead of quadratic function, to solve emission dispatch problem to make the system more robust against nonlinearities of actual power generator. PSO with cubic function reveals better results by optimizing less emission of hazardous gases, transmission losses and showing robustness against nonlinearities than simplified direct search method (SDSM).
format Article
author Mahdi, F.P.
Vasant, P.
Kallimani, V.
Fai, P.S.Y.
Wadud, M.A.
spellingShingle Mahdi, F.P.
Vasant, P.
Kallimani, V.
Fai, P.S.Y.
Wadud, M.A.
Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization
author_facet Mahdi, F.P.
Vasant, P.
Kallimani, V.
Fai, P.S.Y.
Wadud, M.A.
author_sort Mahdi, F.P.
title Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization
title_short Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization
title_full Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization
title_fullStr Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization
title_full_unstemmed Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization
title_sort emission dispatch problem with cubic function considering transmission loss using particle swarm optimization
publisher Universiti Teknikal Malaysia Melaka
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011321099&partnerID=40&md5=018a93f9f37e7495aee737423c7627b0
http://eprints.utp.edu.my/25905/
_version_ 1738656796434759680
score 13.211869

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