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Probabilistic approach in sizing distribution transformers

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dc.citedby3
dc.contributor.authorKannan S.en_US
dc.contributor.authorAu M.T.en_US
dc.contributor.authorid57217334641en_US
dc.contributor.authorid9742020600en_US
dc.date.accessioned2023-12-29T07:51:36Z
dc.date.available2023-12-29T07:51:36Z
dc.date.issued2010
dc.description.abstractThis paper presents a probabilistic approach in sizing distribution transformers capacity supplying residential, commercial, and combination of residential and commercial loads. Load data recorded from the three categories of aggregate loads are used to establish probability distribution curves based on the goodness-of-fit test. The gamma distribution is found to be the best fit among all probability distributions for kilo-volt-ampere (KVA) recorded at peak periods. It is shown that distribution transformers capacity could be more optimally sized by considering a risk factor and thus results in cost savings. �2010 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5529012
dc.identifier.doi10.1109/PMAPS.2010.5529012
dc.identifier.epage603
dc.identifier.scopus2-s2.0-77956435701
dc.identifier.spage599
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77956435701&doi=10.1109%2fPMAPS.2010.5529012&partnerID=40&md5=1d364e43755f511e4fffab604b5402f8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30705
dc.pagecount4
dc.sourceScopus
dc.sourcetitle2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
dc.subjectDistribution transformers
dc.subjectGamma distribution
dc.subjectGoodness-of-fit
dc.subjectPeak demand
dc.subjectProbabilistic
dc.subjectDistribution transformer
dc.subjectGamma distribution
dc.subjectGoodness of fit
dc.subjectPeak demand
dc.subjectProbabilistic
dc.subjectProbability distributions
dc.titleProbabilistic approach in sizing distribution transformersen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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