Açık Akademik Arşiv Sistemi

Optimizing power flow of AC-DC power systems using artificial bee colony algorithm

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dc.date.accessioned 2020-01-13T07:57:08Z
dc.date.available 2020-01-13T07:57:08Z
dc.date.issued 2013
dc.identifier.citation Kilic, U; Ayan, K (2013). Optimizing power flow of AC-DC power systems using artificial bee colony algorithm. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 53, 602-592
dc.identifier.issn 0142-0615
dc.identifier.uri https://hdl.handle.net/20.500.12619/2574
dc.identifier.uri https://doi.org/10.1016/j.ijepes.2013.05.036
dc.description.abstract Optimal power flow (OPF) is one of the known problems of the power systems. Many numerical and heuristic methods were used to solve this problem so far. As seen from these studies in literature, heuristic methods are more effective and faster than numerical methods. This case is to make more attractive and mandatory the using of heuristic methods in optimal power flow solution of high voltage direct current (HVDC) systems. In this study, the optimal power flow solution of alternating current direct current (AC-DC) power systems is firstly accomplished by using the artificial bee colony (ABC) algorithm that is one of the heuristic methods. The proposed method is tested on two different test systems. The obtained results are compared to that of genetic algorithm (GA) and a numerical method in literature. In this study, the real transformer representation is also used for the transformers in the power systems. (C) 2013 Elsevier Ltd. All rights reserved.
dc.language English
dc.publisher Elsevier SCI LTD
dc.subject Engineering
dc.subject Mühendislik
dc.title Optimizing power flow of AC-DC power systems using artificial bee colony algorithm
dc.type Article
dc.identifier.volume 53
dc.identifier.startpage 592
dc.identifier.endpage 602
dc.contributor.department Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilgisayar Mühendisliği Bölümü
dc.contributor.saüauthor Ayan, Kürşat
dc.relation.journal International Journal of Electrical Power & Energy Systems
dc.identifier.wos WOS:000325445600063
dc.identifier.doi 10.1016/j.ijepes.2013.05.036
dc.identifier.eissn 1879-3517
dc.contributor.author Ayan, Kürşat
dc.contributor.author Kilic, Ulas


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