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Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder

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dc.citedby0
dc.contributor.authorMasdzarif N.D.I.en_US
dc.contributor.authorIbrahim K.A.en_US
dc.contributor.authorGan C.K.en_US
dc.contributor.authorAu M.T.en_US
dc.contributor.authorid58157291600en_US
dc.contributor.authorid55337003600en_US
dc.contributor.authorid35179398400en_US
dc.contributor.authorid9742020600en_US
dc.date.accessioned2025-03-03T07:41:22Z
dc.date.available2025-03-03T07:41:22Z
dc.date.issued2024
dc.description.abstractDistribution network feeder characteristics can typically be divided into groups based on factors including length, load distribution along the feeder, peak demand, installed capacity, and load profile. By comparing the parameters to those of similar feeders with known losses, it is usually possible to predict the power losses and technical losses (TL) of the respective feeders pretty accurately. However, it is exceedingly difficult and time-consuming to estimate the losses with various variables and characteristics over such a large area. This paper proposed that through base case feeder modeling and simulation utilizing typical network and load data, feeders? peak power loss (PPL) functions can be established as a simple and effective power loss estimation method. Hence, the least time-consuming way of using a PPL regression equation based on a base case feeder is established in this paper to estimate the losses. The flexibility of PPL is proven through the case study. In the end, the results obtained between PPL and peak power demand (PPD) are demonstrated to be precisely proportional and the method is proven as a simple power loss estimation method due to the flexibility of the PPL regression equation. ? 2024, Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/eei.v13i6.7808
dc.identifier.epage3887
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85205271971
dc.identifier.spage3880
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85205271971&doi=10.11591%2feei.v13i6.7808&partnerID=40&md5=bda55016c3d1de3e3826774fd4170c8f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36095
dc.identifier.volume13
dc.pagecount7
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.sourceScopus
dc.sourcetitleBulletin of Electrical Engineering and Informatics
dc.titlePower loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feederen_US
dc.typeArticleen_US
dspace.entity.typePublication
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