Dynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimation

dc.contributor.authorLiu, Yuen
dc.contributor.authorSingh, Abhinav Kumaren
dc.contributor.authorZhao, Junboen
dc.contributor.authorMeliopoulos, AP Sakis P. S.en
dc.contributor.authorPal, Bikashen
dc.contributor.authorAriff, Mohd Aifaa bin Mohd B. M.en
dc.contributor.authorVan Cutsem, Thierryen
dc.contributor.authorGlavic, Mevludinen
dc.contributor.authorHuang, Zhenyuen
dc.contributor.authorKamwa, Innocenten
dc.contributor.authorMili, Lamine M.en
dc.contributor.authorMir, Abdul Saleemen
dc.contributor.authorTaha, Ahmaden
dc.contributor.authorTerzija, Vladimiren
dc.contributor.authorYu, Shenglongen
dc.date.accessioned2024-01-23T18:18:32Zen
dc.date.available2024-01-23T18:18:32Zen
dc.date.issued2021-05-12en
dc.description.abstractDynamic state estimation (DSE) accurately tracks the dynamics of a power system and provides the evolution of the system state in real-time. This paper focuses on the control and protection applications of DSE, comprehensively presenting different facets of control and protection challenges arising in modern power systems. It is demonstrated how these challenges are effectively addressed with DSE-enabled solutions. As precursors to these solutions, reformulation of DSE considering both synchrophasor and sampled value measurements and comprehensive comparisons of DSE and observers have been presented. The usefulness and necessity of DSE based solutions in ensuring system stability, reliable protection and security, and resilience by revamping of control and protection methods are shown through examples, practical applications, and suggestions for further development.en
dc.description.versionPublished versionen
dc.format.extentPages 5909-5921en
dc.format.extent13 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/TPWRS.2021.3079395en
dc.identifier.eissn1558-0679en
dc.identifier.issn0885-8950en
dc.identifier.issue6en
dc.identifier.orcidMili, Lamine [0000-0001-6134-3945]en
dc.identifier.urihttps://hdl.handle.net/10919/117619en
dc.identifier.volume36en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsPublic Domain (U.S.)en
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/en
dc.subjectPower system dynamicsen
dc.subjectPower system stabilityen
dc.subjectTransmission line measurementsen
dc.subjectPower measurementen
dc.subjectCurrent measurementen
dc.subjectObserversen
dc.subjectTransient analysisen
dc.subjectDynamic state estimationen
dc.subjectKalman filteren
dc.subjectparameter estimationen
dc.subjectstabilityen
dc.subjectcontrolen
dc.subjectprotectionen
dc.subjectsynchrophasor measurementsen
dc.subjectsampled value measurementsen
dc.subjectsynchronous generationen
dc.subjectconverter-based resourcesen
dc.titleDynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimationen
dc.title.serialIEEE Transactions on Power Systemsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Electrical and Computer Engineeringen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Zhao-Mili_Dynamic_State_Estimation_for_Power_System_Control_and_Protection.pdf
Size:
2.81 MB
Format:
Adobe Portable Document Format
Description:
Published version
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Plain Text
Description: