An unscented particle filtering approach to decentralized dynamic state estimation for DFIG wind turbines in multi-area power systems

Yu, Samson, Guo, Junhao, Chau, Tat Kei, Fernando, Tyrone, Iu, Herbert H.C. and Trinh, Hieu 2020, An unscented particle filtering approach to decentralized dynamic state estimation for DFIG wind turbines in multi-area power systems, IEEE Transactions on Power Systems, pp. 1-13, doi: 10.1109/tpwrs.2020.2966443.

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Title An unscented particle filtering approach to decentralized dynamic state estimation for DFIG wind turbines in multi-area power systems
Author(s) Yu, SamsonORCID iD for Yu, Samson orcid.org/0000-0002-2983-7344
Guo, Junhao
Chau, Tat Kei
Fernando, Tyrone
Iu, Herbert H.C.
Trinh, HieuORCID iD for Trinh, Hieu orcid.org/0000-0003-3438-9969
Journal name IEEE Transactions on Power Systems
Start page 1
End page 13
Total pages 13
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Place of publication Piscataway, N.J.
Publication date 2020-01
ISSN 0885-8950
1558-0679
Keyword(s) doubly fed induction generator
phasor measurement units
particle filter
unscented Kalman filter
unscented particle filter
dynamic state estimation
Language eng
DOI 10.1109/tpwrs.2020.2966443
Indigenous content off
Field of Research 0906 Electrical and Electronic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Persistent URL http://hdl.handle.net/10536/DRO/DU:30133643

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