Publication:
Detection of Blackouts by Using K-Means Clustering in a Power System

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dc.authorscopusid22433630600
dc.authorscopusid55727340000
dc.authorscopusid36460206000
dc.authorscopusid43261101100
dc.contributor.authorÖzgönenel, O.
dc.contributor.authorThomas, D.W.P.
dc.contributor.authorYalcin, T.
dc.contributor.authorBertizlioǧlu, I.N.
dc.date.accessioned2020-06-21T09:28:59Z
dc.date.available2020-06-21T09:28:59Z
dc.date.issued2012
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Özgönenel] Okan, Electrical and Electronic Engineering Faculty, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Thomas] David William Phillip, Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom; [Yalcin] Turgay, Electrical and Electronic Engineering Faculty, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Bertizlioǧlu] Ismail Nuri, Electrical and Electronic Engineering Faculty, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractThis paper presents a novel approach for the detection of abnormal power system states that force systems into blackout. K-means clustering techniques and two types of distances for identifying pattern clusters are used to detect abnormal conditions. PCA is used for the reduction of the data matrix for faster calculations. The proposed hybrid technique is then demonstrated on an IEEE 14-bus system.en_US
dc.identifier.doi10.1049/cp.2012.0079
dc.identifier.isbn9780863417290
dc.identifier.isbn9780863419003
dc.identifier.isbn9781849191609
dc.identifier.isbn9781839530029
dc.identifier.isbn9781849195584
dc.identifier.isbn9781849198172
dc.identifier.isbn9781849196246
dc.identifier.isbn9781849195690
dc.identifier.isbn9781785610462
dc.identifier.isbn9780863419027
dc.identifier.scopus2-s2.0-84863696500
dc.identifier.urihttps://doi.org/10.1049/cp.2012.0079
dc.identifier.urihttps://hdl.handle.net/20.500.12712/4409
dc.identifier.volume2012en_US
dc.language.isoenen_US
dc.relation.ispartof-- 11th IET International Conference on Developments in Power Systems Protection, DPSP 2012en_US
dc.relation.journalIET Conference Publicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAnomaly (Outlier) Detectionen_US
dc.subjectBlackouten_US
dc.subjectK-Means Clusteringen_US
dc.subjectPrincipal Component Analysis (PCA)en_US
dc.titleDetection of Blackouts by Using K-Means Clustering in a Power Systemen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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