Combined economic and emission dispatch solution using gravitational search algorithm

Basit Öğe Kaydı
dc.contributor.authorGüvenç, Uğur
dc.contributor.authorSönmez, Yusuf
dc.contributor.authorDuman, Serhat
dc.contributor.authorYörükeren, Nuran
dc.date.accessioned2020-04-30T22:41:01Z
dc.date.available2020-04-30T22:41:01Z
dc.date.issued2012
dc.departmentDÜ, Teknoloji Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionDuman, Serhat/0000-0002-1091-125X; sonmez, yusuf/0000-0002-9775-9835; GUVENC, Ugur/0000-0002-5193-7990en_US
dc.descriptionWOS: 000313195600048en_US
dc.description.abstractIn this article, the Gravitational Search Algorithm (GSA) has been proposed to find the optimal solution for Combined Economic and Emission Dispatch (CEED) problems. It is aimed, in the CEED problem, that scheduling of generators should operate with both minimum fuel costs and emission levels, simultaneously, while satisfying the load demand and operational constraints. In this paper, the CEED problem is formulated as a multi-objective problem by considering the fuel cost and emission objectives of generating units. The bi-objective optimization problem is converted into a single objective function using a price penalty factor in order to solve it with GSA. The proposed algorithm has been implemented on four different test cases, having a valve point effect with transmission loss and having no valve point effect without transmission loss. In order to see the effectiveness of the proposed algorithm, it has been compared with other algorithms in the literature. Results show that the GSA is more powerful than other algorithms. (C) 2012 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.scient.2012.02.030en_US
dc.identifier.endpage1762en_US
dc.identifier.issn1026-3098
dc.identifier.issue6en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1754en_US
dc.identifier.urihttps://doi.org/10.1016/j.scient.2012.02.030
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3105
dc.identifier.volume19en_US
dc.identifier.wosWOS:000313195600048en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartofScientia Iranicaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCombined economic and emission dispatchen_US
dc.subjectGravitational search algorithmen_US
dc.subjectPower systemsen_US
dc.subjectOptimizationen_US
dc.titleCombined economic and emission dispatch solution using gravitational search algorithmen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
3105.pdf
Boyut:
482.63 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu