Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

Zhao, J, Netto, M, Huang, Z, Yu, Samson Shenglong, Gomez-Exposito, A, Wang, S, Kamwa, I, Akhlaghi, S, Mili, L, Terzija, V, Meliopoulos, APS, Pal, BC, Singh, AK, Abur, A, Bi, T and Rouhani, A 2020, Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation, IEEE Transactions on Power Systems, pp. 1-11, doi: 10.1109/tpwrs.2020.3028047.

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Title Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation
Author(s) Zhao, J
Netto, M
Huang, Z
Yu, Samson ShenglongORCID iD for Yu, Samson Shenglong orcid.org/0000-0002-2983-7344
Gomez-Exposito, A
Wang, S
Kamwa, I
Akhlaghi, S
Mili, L
Terzija, V
Meliopoulos, APS
Pal, BC
Singh, AK
Abur, A
Bi, T
Rouhani, A
Journal name IEEE Transactions on Power Systems
Start page 1
End page 11
Total pages 11
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2020-09-30
ISSN 0885-8950
1558-0679
Keyword(s) Dynamic state estimation
Kalman filtering
low inertia
monitoring
parameter estimation
power system stability
synchronous machines
synchrophasor measurements
converter interfaced generation
static state estimation
Notes In Press
Language eng
DOI 10.1109/tpwrs.2020.3028047
Indigenous content off
Field of Research 0906 Electrical and Electronic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30143371

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