Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

The influence of generator scheduling and time-varying fault rates on voltage sag prediction

Full metadata record
DC Field Value Language
dc.contributor.authorPark, Chang-Hyun-
dc.contributor.authorJang, Gilsoo-
dc.contributor.authorThomas, Robert J.-
dc.date.accessioned2021-09-09T09:41:26Z-
dc.date.available2021-09-09T09:41:26Z-
dc.date.created2021-06-10-
dc.date.issued2008-04-
dc.identifier.issn0885-8977-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/123802-
dc.description.abstractThis paper discusses the influence of generator scheduling and time-varying fault rates on the stochastic prediction of voltage sags. Typically, in the stochastic prediction of voltage sags, the annual expected sag frequencies (ESFs) at sensitive load points are calculated by assuming that the operating conditions and topology of the power system remain unchanged and fault rates of system components are constant throughout a year. In this paper, in order to obtain reasonable accuracy in predicting the annual ESFs at sensitive load points, the variation of fault rates due to adverse weather and the effect of generator scheduling are considered. The study was performed on the IEEE 30-bus test system. Two buses were randomly selected and the ESFs at the selected buses were calculated for different cases (i.e., with and without incorporation of time-varying fault rates and the operation schedule of generators in the system).-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectSTOCHASTIC PREDICTION-
dc.subjectDISTRIBUTION-SYSTEMS-
dc.subjectRELIABILITY-
dc.subjectNETWORK-
dc.subjectWEATHER-
dc.titleThe influence of generator scheduling and time-varying fault rates on voltage sag prediction-
dc.typeArticle-
dc.contributor.affiliatedAuthorJang, Gilsoo-
dc.identifier.doi10.1109/TPWRD.2008.915836-
dc.identifier.scopusid2-s2.0-42249085917-
dc.identifier.wosid000254851700088-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON POWER DELIVERY, v.23, no.2, pp.1243 - 1250-
dc.relation.isPartOfIEEE TRANSACTIONS ON POWER DELIVERY-
dc.citation.titleIEEE TRANSACTIONS ON POWER DELIVERY-
dc.citation.volume23-
dc.citation.number2-
dc.citation.startPage1243-
dc.citation.endPage1250-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusSTOCHASTIC PREDICTION-
dc.subject.keywordPlusDISTRIBUTION-SYSTEMS-
dc.subject.keywordPlusRELIABILITY-
dc.subject.keywordPlusNETWORK-
dc.subject.keywordPlusWEATHER-
dc.subject.keywordAuthorgenerator scheduling-
dc.subject.keywordAuthorpower quality (PQ)-
dc.subject.keywordAuthorstochastic assessment-
dc.subject.keywordAuthortime-varying fault rates-
dc.subject.keywordAuthorvoltage sags-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jang, Gil soo photo

Jang, Gil soo
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE