File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Power quality disturbance detection based on mathematical morphology and fractal technique

TitlePower quality disturbance detection based on mathematical morphology and fractal technique
Authors
KeywordsDisturbance detection
Dynamic power quality
Grille fractal
Mathematical morphology
Morphologic filter
Issue Date2005
PublisherIEEE.
Citation
IEEE / P E S Transmission and Distribution Conference and Exhibition, Dalian, China, 14-18 August 2005 How to Cite?
AbstractBased on mathematical morphology and grille fractal, a novel approach on power quality disturbance detection and location is presented in this paper. At first a parallel composite morphological filter with multiple-structure elements is designed to filter the random noise and impulse noise in power quality disturbance signals. Then to the filtered curves, an easy implementation criterion for singularity detection based on the change regularity of grille fractal is proposed to locate the start and end time that disturbance occurs. The voltage sag, swell, harmonic and their combined disturbances are used to verify the validity of the proposed filter-location approach. Numerical results show that the proposed approach is valid and effective. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45861
References

 

DC FieldValueLanguage
dc.contributor.authorLi, Gen_HK
dc.contributor.authorZhou, Men_HK
dc.contributor.authorLuo, Yen_HK
dc.contributor.authorNi, Yen_HK
dc.date.accessioned2007-10-30T06:37:08Z-
dc.date.available2007-10-30T06:37:08Z-
dc.date.issued2005en_HK
dc.identifier.citationIEEE / P E S Transmission and Distribution Conference and Exhibition, Dalian, China, 14-18 August 2005en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45861-
dc.description.abstractBased on mathematical morphology and grille fractal, a novel approach on power quality disturbance detection and location is presented in this paper. At first a parallel composite morphological filter with multiple-structure elements is designed to filter the random noise and impulse noise in power quality disturbance signals. Then to the filtered curves, an easy implementation criterion for singularity detection based on the change regularity of grille fractal is proposed to locate the start and end time that disturbance occurs. The voltage sag, swell, harmonic and their combined disturbances are used to verify the validity of the proposed filter-location approach. Numerical results show that the proposed approach is valid and effective. © 2005 IEEE.en_HK
dc.format.extent354691 bytes-
dc.format.extent11910 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofProceedings of the IEEE Power Engineering Society Transmission and Distribution Conferenceen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectDisturbance detectionen_HK
dc.subjectDynamic power qualityen_HK
dc.subjectGrille fractalen_HK
dc.subjectMathematical morphologyen_HK
dc.subjectMorphologic filteren_HK
dc.titlePower quality disturbance detection based on mathematical morphology and fractal techniqueen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailNi, Y: yxni@eee.hku.hken_HK
dc.identifier.authorityNi, Y=rp00161en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/TDC.2005.1547030en_HK
dc.identifier.scopuseid_2-s2.0-33746555408en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33746555408&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage1en_HK
dc.identifier.epage6en_HK
dc.identifier.scopusauthoridLi, G=8400663800en_HK
dc.identifier.scopusauthoridZhou, M=35390426600en_HK
dc.identifier.scopusauthoridLuo, Y=55187937200en_HK
dc.identifier.scopusauthoridNi, Y=7402910021en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats