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Graphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation function

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dc.citedby3
dc.contributor.authorAli Z.en_US
dc.contributor.authorPeng S.A.en_US
dc.contributor.authorNorfauzi M.en_US
dc.contributor.authorid25824589000en_US
dc.contributor.authorid55569320300en_US
dc.contributor.authorid24484122500en_US
dc.date.accessioned2023-05-29T06:13:01Z
dc.date.available2023-05-29T06:13:01Z
dc.date.issued2016
dc.descriptionAlgorithms; Correlation methods; Electric circuit breakers; Grading; Magnetic resonance; MATLAB; Power transformers; Resonance; Voltage measurement; Correlation function; Diagnostic tools; Ferroresonance; Fundamental frequencies; Graphical analysis; System voltage; Voltage signals; Voltage transformer; Capacitanceen_US
dc.description.abstractThis paper presents a new algorithm of identifying the different modes of ferroresonance (FR) using voltage signals. The voltage signals are simulated from a ferroresonance model that represents a voltage transformer energized through a grading capacitance of opened circuit breakers. Different modes of ferroresonance voltage signals were obtained by simulating various value of grading capacitance, system voltage and interrupting time. The mode's identification is automatically determined by correlating the sustained period of different ferroresonance mode signal and the sustained period of tested voltage signal. Detecting the types of ferroresonant modes plays an important role as a pre-testing tool or diagnostic tool to identify the range of parameters that would lead to the fundamental frequency ferroresonance phenomenon. The simulation is carried out by using Matlab. � 2015 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7373195
dc.identifier.doi10.1109/TENCON.2015.7373195
dc.identifier.scopus2-s2.0-84962150413
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84962150413&doi=10.1109%2fTENCON.2015.7373195&partnerID=40&md5=72ad3eecb09f008f56ea77d5153f18e4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22882
dc.identifier.volume2016-January
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleIEEE Region 10 Annual International Conference, Proceedings/TENCON
dc.titleGraphical analysis of ferroresonance modes in a voltage transformer energized through grading capacitance using correlation functionen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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