Detailed Information

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

Continuation Power Flow Based Distributed Energy Resource Hosting Capacity Estimation Considering Renewable Energy Uncertainty and Stability in Distribution Systems

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Hyun-Tae-
dc.contributor.authorLee, Jungju-
dc.contributor.authorYoon, Myungseok-
dc.contributor.authorLee, Moon-Jeong-
dc.contributor.authorCho, Namhun-
dc.contributor.authorChoi, Sungyun-
dc.date.accessioned2021-08-30T15:39:00Z-
dc.date.available2021-08-30T15:39:00Z-
dc.date.created2021-06-18-
dc.date.issued2020-09-
dc.identifier.issn1996-1073-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/53613-
dc.description.abstractRecently, the demand for electricity has been increasing worldwide. Thus, more attention has been paid to renewable energy. There are acceptable limits during the integration of renewable energy into distribution systems because there are many effects of integrating renewable energy. Unlike previous studies that have estimated the distributed energy resource (DER) hosting capacity using the standard high voltage and probability approach, in this study, we propose an algorithm to estimate the DER hosting capacity by considering DER outages due to abrupt disturbances or uncertainties based on the generator ramp rate and voltage stability, which involves analysis of the low-voltage aspects. Furthermore, this method does not involve a complicated process or need large amounts of data to estimate the DER hosting capacity because it requires only minimum data for power flow. The proposed algorithm was applied to the IEEE-33 radial distribution system. According to the DER capacity, a voltage stability analysis based on continuation power flow (CPF) was conducted in a case of DER outage to estimate the DER hosting capacity in this case study. Thus, the DER hosting capacity was estimated for the IEEE-33 radial distribution system.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI-
dc.subjectSTOCHASTIC MATHEMATICAL-MODEL-
dc.subjectMULTISTAGE-
dc.subjectTOOL-
dc.titleContinuation Power Flow Based Distributed Energy Resource Hosting Capacity Estimation Considering Renewable Energy Uncertainty and Stability in Distribution Systems-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, Sungyun-
dc.identifier.doi10.3390/en13174367-
dc.identifier.scopusid2-s2.0-85090913309-
dc.identifier.wosid000570381600001-
dc.identifier.bibliographicCitationENERGIES, v.13, no.17-
dc.relation.isPartOfENERGIES-
dc.citation.titleENERGIES-
dc.citation.volume13-
dc.citation.number17-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.subject.keywordPlusSTOCHASTIC MATHEMATICAL-MODEL-
dc.subject.keywordPlusMULTISTAGE-
dc.subject.keywordPlusTOOL-
dc.subject.keywordAuthorcontinuation power flow-
dc.subject.keywordAuthorDER hosting capacity-
dc.subject.keywordAuthorarc-length parameterization-
dc.subject.keywordAuthorbifurcation point-
dc.subject.keywordAuthorramp rate of generator-
dc.subject.keywordAuthorPV curve-
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 Choi, Sung yun photo

Choi, Sung yun
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE