Double branch outage modeling and its solution using differential evolution method
dc.contributor.author | Dağ, Hasan | |
dc.contributor.author | Ceylan, Oğuzhan | |
dc.contributor.author | Dağ, Hasan | |
dc.date.accessioned | 2019-06-28T11:11:12Z | |
dc.date.available | 2019-06-28T11:11:12Z | |
dc.date.issued | 2011 | |
dc.department | Fakülteler, Fen - Edebiyat Fakültesi, Enformasyon Teknolojileri Bölümü | en_US |
dc.description.abstract | Power system operators need to check the system security by contingency analysis which requires power flow solutions repeatedly. AC power flow is computationally slow even for a moderately sized system. Thus fast and accurate outage models and approximated solutions have been developed. This paper adopts a single branch outage model to a double branch outage one. The final constrained optimization problem resulted from modeling is then solved by using differential evolution method. Simulation results for IEEE 30 and 118 bus test systems are presented and compared to those of full AC load flow in terms of solution accuracy. © 2011 IEEE. | en_US] |
dc.identifier.citation | 5 | |
dc.identifier.doi | 10.1109/ISAP.2011.6082228 | en_US |
dc.identifier.scopus | 2-s2.0-83655197379 | en_US |
dc.identifier.scopusquality | N/A | |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/1501 | |
dc.identifier.uri | https://doi.org/10.1109/ISAP.2011.6082228 | |
dc.identifier.wosquality | N/A | |
dc.institutionauthor | Dağ, Hasan | en_US |
dc.language.iso | en | en_US |
dc.relation.journal | 16th International Conference on Intelligent System Applications to Power Systems | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Branch outage modeling | en_US |
dc.subject | Differential evolution | en_US |
dc.subject | Double branch outage | en_US |
dc.subject | Optimization | en_US |
dc.subject | Post outage state | en_US |
dc.title | Double branch outage modeling and its solution using differential evolution method | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | e02bc683-b72e-4da4-a5db-ddebeb21e8e7 | |
relation.isAuthorOfPublication | b80c3194-906c-4e78-a54c-e3cd1effc970 | |
relation.isAuthorOfPublication.latestForDiscovery | e02bc683-b72e-4da4-a5db-ddebeb21e8e7 |
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