Double Branch Outage Modeling and Simulation: Bounded Network Approach

dc.contributor.author Ceylan, Oğuzhan
dc.contributor.author Dağ, Hasan
dc.contributor.author Özdemir, Aydoğan
dc.contributor.author Ceylan, Oğuzhan
dc.contributor.author Dağ, Hasan
dc.contributor.author Özdemir, Serpil
dc.contributor.other Advertising
dc.contributor.other Management Information Systems
dc.date.accessioned 2019-06-27T08:02:09Z
dc.date.available 2019-06-27T08:02:09Z
dc.date.issued 2015
dc.department Fakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümü en_US
dc.description.abstract Energy management system operators perform regular outage simulations in order to ensure secure operation of power systems. AC power flow based outage simulations are not preferred because of insufficient computational speed. Hence several outage models and computational methods providing acceptable accuracy have been developed. On the other hand double branch outages are critical rare events which can result in cascading outages and system collapse. This paper presents a double branch outage model and formulation of the phenomena as a constrained optimization problem. Optimization problem is then solved by using differential evolution method and particle swarm optimization algorithm. The proposed algorithm is applied to IEEE test systems. Computational accuracies of differential evolution based solutions and particle swarm optimization based solutions are discussed for IEEE 30 Bus Test System and IEEE 118 Bus Test System applications. IEEE 14 Bus Test System IEEE 30 Bus Test System IEEE 57 Bus Test System IEEE 118 Bus Test System and IEEE 300 Bus Test System simulation results are compared to AC load flows in terms of computational speed. Finally the performance of the proposed method is analyzed for different outage configurations. (C) 2015 Elsevier Ltd. All rights reserved. en_US]
dc.identifier.citationcount 2
dc.identifier.doi 10.1016/j.ijepes.2015.05.001 en_US
dc.identifier.endpage 376
dc.identifier.issn 0142-0615 en_US
dc.identifier.issn 1879-3517 en_US
dc.identifier.issn 0142-0615
dc.identifier.issn 1879-3517
dc.identifier.scopus 2-s2.0-84929623093 en_US
dc.identifier.scopusquality Q1
dc.identifier.startpage 369 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/560
dc.identifier.uri https://doi.org/10.1016/j.ijepes.2015.05.001
dc.identifier.volume 73 en_US
dc.identifier.wos WOS:000360771800039 en_US
dc.identifier.wosquality Q1
dc.institutionauthor Dağ, Hasan en_US
dc.language.iso en en_US
dc.publisher Elsevier Science en_US
dc.relation.journal International Journal Of Electrical Power & Energy Systems en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 2
dc.subject Constrained optimization problem en_US
dc.subject Power system modeling en_US
dc.subject Intelligent methods en_US
dc.subject Differential evolution en_US
dc.subject Particle swarm optimization en_US
dc.title Double Branch Outage Modeling and Simulation: Bounded Network Approach en_US
dc.type Article en_US
dc.wos.citedbyCount 2
dspace.entity.type Publication
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