Fault Zone Classifier Performance Improvement of PMU-Enabled Distribution System Through Feature Engineering

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dc.contributor.affiliationUniversity of the Philippines
dc.contributor.affiliationUniversity of the Philippines
dc.contributor.affiliationUniversity of California Berkeley
dc.contributor.authorSta. Cruz, Anton Domini
dc.contributor.authorPedrasa, Michael Angelo
dc.contributor.authorDobbe, Roel
dc.contributor.countryPhilippines
dc.contributor.countryPhilippines
dc.contributor.countryUSA
dc.contributor.detailedauthorSta. Cruz, Anton Domini, University of the Philippines, Philippines
dc.contributor.detailedauthorPedrasa, Michael Angelo, University of the Philippines, Philippines
dc.contributor.detailedauthorDobbe, Roel, University of California Berkeley, USA
dc.date.accessioned2019-07-24T12:47:11Z
dc.date.available2019-07-24T12:47:11Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractFault localization algorithms are prone to multiple estimates on most distribution networks due to their tree-shaped radial topology. To address this problem, localization may be supported by the identification of network section or zone where the fault occurred. This study aims to explore the development of fault zone classifiers that exploit the phase angle information given by phasor measurement units (PMUs) through feature engineering. Results show that the PMU angle information contributes to better clustering of different fault zones in the feature space which leads to better classification performance. Also, the study demonstrated the effectiveness of further improving the classifier performance through feature engineering. Analysis of a developed fault zone classifier was also performed to understand the characteristics of the misclassified fault instances.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionOperation, control and protection
dc.description.sessionidSession 3
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/681
dc.identifier.urihttp://dx.doi.org/10.34890/901
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleFault Zone Classifier Performance Improvement of PMU-Enabled Distribution System Through Feature Engineering
dc.title.number1998
dc.typeConference Proceedings
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