1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Άρθρα/Articles
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18087
DC FieldValueLanguage
dc.contributor.authorSchiffer, Johannes-
dc.contributor.authorAristidou, Petros-
dc.contributor.authorOrtega, Romeo-
dc.date.accessioned2020-03-16T18:15:05Z-
dc.date.available2020-03-16T18:15:05Z-
dc.date.issued2019-11-01-
dc.identifier.citationIEEE Transactions on Power Systems,2019, vol. 34, no. 6, pp. 4993-5001en_US
dc.identifier.issn08858950-
dc.description.abstractThe increasing penetration of power-electronic-interfaced devices is expected to have a significant effect on the overall system inertia and a crucial impact on the system dynamics. In future, the reduction of inertia will have drastic consequences on protection and real-time control and will play a crucial role in the system operation. Therefore, in a highly deregulated and uncertain environment, it is necessary for transmission system operators to be able to monitor the system inertia in real time. We address this problem by developing and validating an online inertia estimation algorithm. The estimator is derived using the recently proposed dynamic regressor and mixing procedure. The performance of the estimator is demonstrated via several test cases using the 1013-machine ENTSO-E dynamic model.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Power Systemsen_US
dc.rights© IEEEen_US
dc.subjectPower system stabilityen_US
dc.subjectParameter estimationen_US
dc.subjectPower system inertiaen_US
dc.subjectLow-inertia systemsen_US
dc.subjectPower system dynamicsen_US
dc.titleOnline Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixingen_US
dc.typeArticleen_US
dc.collaborationUniversity of Leedsen_US
dc.collaborationBrandenburg University of Technologyen_US
dc.collaborationFrench National Centre for Scientific Researchen_US
dc.subject.categoryENGINEERING AND TECHNOLOGYen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryUnited Kingdomen_US
dc.countryGermanyen_US
dc.countryFranceen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1109/TPWRS.2019.2915249en_US
dc.identifier.scopus2-s2.0-85074450245-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85074450245-
dc.relation.issue6en_US
dc.relation.volume34en_US
cut.common.academicyear2020-2021en_US
dc.identifier.spage4993en_US
dc.identifier.epage5001en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypearticle-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4429-0225-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.journal.journalissn0885-8950-
crisitem.journal.publisherIEEE-
Appears in Collections:Άρθρα/Articles
Files in This Item:
File Description SizeFormat
manuscript.pdf1.06 MBAdobe PDFView/Open
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

99
checked on Mar 14, 2024

WEB OF SCIENCETM
Citations

54
Last Week
3
Last month
3
checked on Oct 29, 2023

Page view(s)

278
Last Week
0
Last month
10
checked on May 21, 2024

Download(s)

49
checked on May 21, 2024

Google ScholarTM

Check

Altmetric


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