Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/10426
Full metadata record
DC FieldValueLanguage
dc.contributor.authorM. W., Mustafa-
dc.contributor.authorM. H., Sulaiman-
dc.contributor.authorH., Shareef-
dc.contributor.authorS. N., Abd. Khalid-
dc.date.accessioned2011-01-06T08:59:06Z-
dc.date.available2011-01-06T08:59:06Z-
dc.date.issued2010-06-23-
dc.identifier.citationp. 226-231en_US
dc.identifier.isbn978-1-4244-7127-0-
dc.identifier.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5559183-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/10426-
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractThis paper attempts to allocate the generators' contributions to loads in pool based power system by incorporating the Least Squares Support Vector Machine (LSSVM). The idea is to use supervised learning approach to train the LS-SVM. The technique that uses proportional tree method (PTM) which is applying the convention of proportional sharing principle is utilized as a teacher. Based on converged load flow and followed by PTM for power tracing procedure, the description of inputs and outputs of the training data for the LSSVM are created. The LS-SVM will learn to identify which generators are supplying to which loads. The proposed technique is demonstrated using IEEE 14-bus system to illustrate the effectiveness of the LS-SVM technique compared to that of the PTM. The comparison result with Artificial Neural Network (ANN) technique is also will be discussed.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the 4th International Power Engineering and Optimization Conference (PEOCO) 2010en_US
dc.subjectArtificial neural network (ann)en_US
dc.subjectLeast squares support vector machine (ls-svm)en_US
dc.subjectPool based power systemen_US
dc.subjectProportional tree method (ptm)en_US
dc.subjectSupervised learningen_US
dc.titleDetermination of generators' contributions to loads in pool based power system using Least Squares Support Vector Machineen_US
dc.typeWorking Paperen_US
dc.contributor.urlwazir@fke.utm.myen_US
dc.contributor.urlnizam@fke.utm.myen_US
dc.contributor.urlmherwan@unimap.edu.myen_US
dc.contributor.urlshareef@eng.ukm.myen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
Determination of generators.pdf29.04 kBAdobe PDFView/Open


Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.