Publication:
Power quality event characterization

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dc.citedby5
dc.contributor.authorTan C.K.en_US
dc.contributor.authorKumaran V.en_US
dc.contributor.authorSiam F.M.en_US
dc.contributor.authorBusrah A.M.en_US
dc.contributor.authorid55921560400en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid26650164000en_US
dc.contributor.authorid9742798900en_US
dc.date.accessioned2023-12-29T07:57:00Z
dc.date.available2023-12-29T07:57:00Z
dc.date.issued2008
dc.description.abstractThis paper presents an algorithm to characterize power quality (PQ) events. Any power quality event captured at the monitoring point will be analyzed automatically in three stages. The first stage differentiates between sag, swell or transient events by using wavelet analysis as well as time domain analysis for counter checking purposes. Any sag events will automatically be passed to second stage to identify if the sag is caused by induction motor starting, transformer energizing or line faults. Important parameters such as phase angle shift, non/symmetrical sag, non/rectangular sag and sag duration are extracted and used for event characterization in the second stage. If a line fault is identified in the second stage, pseudo-measurement and transformer modeling will be executed to identify the fault location together with the 3-phase bus voltages at the faulted point. Here, the third stage is triggered and the line fault is further characterized into single line-to- ground fault, line-to-line fault or double line-to-ground fault by using the zero sequence voltage magnitude as well as zero sequence voltage angle. This automated event characterization algorithm provides a fast identification of areas that are prone to certain types of faults, which leads to much easier identification of causes of faults in that area - such as trees, animals, nature and etc. Preventive measures as well as the correct mitigation option can then be designed to reduce such incidences and thus improves power quality.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1049/cp:20080580
dc.identifier.epage547
dc.identifier.issue538 CP
dc.identifier.scopus2-s2.0-67449084066
dc.identifier.spage543
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-67449084066&doi=10.1049%2fcp%3a20080580&partnerID=40&md5=1f7eac67336a08af6894814981180f7f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30971
dc.pagecount4
dc.sourceScopus
dc.sourcetitleIET Conference Publications
dc.subjectFault type classification
dc.subjectPower quality
dc.subjectVoltage sags
dc.subjectWavelet transform
dc.subjectZero sequence
dc.subjectAnimals
dc.subjectElectric fault location
dc.subjectElectric grounding
dc.subjectInduction motors
dc.subjectPower electronics
dc.subjectTime domain analysis
dc.subjectUnderground cables
dc.subjectVoltage stabilizing circuits
dc.subjectWavelet transforms
dc.subjectBus voltage
dc.subjectDouble line
dc.subjectFault location
dc.subjectFault type classification
dc.subjectGround faults
dc.subjectMitigation options
dc.subjectMonitoring points
dc.subjectPhase angle shift
dc.subjectPower quality event
dc.subjectPreventive measures
dc.subjectSingle line-to-ground faults
dc.subjectThree stages
dc.subjectTransformer energizing
dc.subjectTransformer modeling
dc.subjectTransient events
dc.subjectVoltage sags
dc.subjectZero sequence
dc.subjectZero sequence voltage
dc.subjectElectric measuring instruments
dc.titlePower quality event characterizationen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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