Detailed Information

Cited 8 time in webofscience Cited 8 time in scopus
Metadata Downloads

A Study on Capacity Credit and ESS Evaluation for WTG and Multi-ESS in Power System

Full metadata record
DC Field Value Language
dc.contributor.authorOh, Ungjin-
dc.contributor.authorChoi, Jaeseok-
dc.contributor.authorKim, Kyu-Ho-
dc.contributor.authorCha, Junmin-
dc.contributor.authorLee, Kwang Y.-
dc.date.accessioned2022-12-26T18:18:52Z-
dc.date.available2022-12-26T18:18:52Z-
dc.date.issued2018-
dc.identifier.issn2405-8963-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/13258-
dc.description.abstractThis paper proposes a new method for evaluating Effective Load Carrying Capability (ELCC) and Capacity Credit (CC) of a power system including Wind Turbine Generator (WTG) combined with Multi Energy Storage System (ESS). The WTG can only generate electrical power when the wind is available. Because of the fluctuation of wind speed, WTG generates intermittent power. In the reliability viewpoint of power system, the intermittent power of WTG is similar to the probabilistic characteristics based on the on-off power due to the mechanical availability of conventional generators. Therefore, high penetration of WTG will cause difficulties in power system operation. The high penetration of numerous and large capacity WTG can risk the power system adequacy, quality, and stability. This study develops a new method to assess how much the penetration of WTG can be extended when WTG is combined with ESS. This paper demonstrates various case studies of ELCC and CC of a power system containing WTG combined with Multi ESSs using a model system similar to Jeju island power system in Korea. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER SCIENCE BV-
dc.titleA Study on Capacity Credit and ESS Evaluation for WTG and Multi-ESS in Power System-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.ifacol.2018.11.755-
dc.identifier.scopusid2-s2.0-85058220782-
dc.identifier.wosid000453038500089-
dc.identifier.bibliographicCitationIFAC PAPERSONLINE, v.51, no.28, pp 516 - 521-
dc.citation.titleIFAC PAPERSONLINE-
dc.citation.volume51-
dc.citation.number28-
dc.citation.startPage516-
dc.citation.endPage521-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.subject.keywordPlusLOAD-CARRYING CAPABILITY-
dc.subject.keywordPlusWIND POWER-
dc.subject.keywordPlusMODEL-
dc.subject.keywordAuthorPower System Reliability-
dc.subject.keywordAuthorWind Turbine Generator (WTG)-
dc.subject.keywordAuthorMonte Carlo simulation (MCS)-
dc.subject.keywordAuthorEnergy Storage System (ESS)-
dc.subject.keywordAuthorEffective Load Carrying Capability (ELCC)-
dc.subject.keywordAuthorCapacity Credit (CC)-
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > 전기공학과 > Journal Articles

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE