Realization of state-estimation-based DFIG wind turbine control design in hybrid power systems using stochastic filtering approaches

Yu, Shenglong, Fernando, Tyrone, Iu, Herbert Ho-Ching and Emami, Kianoush 2016, Realization of state-estimation-based DFIG wind turbine control design in hybrid power systems using stochastic filtering approaches, IEEE transactions on industrial informatics, vol. 12, no. 3, pp. 1084-1092, doi: 10.1109/TII.2016.2549940.

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Title Realization of state-estimation-based DFIG wind turbine control design in hybrid power systems using stochastic filtering approaches
Author(s) Yu, ShenglongORCID iD for Yu, Shenglong orcid.org/0000-0002-2983-7344
Fernando, Tyrone
Iu, Herbert Ho-Ching
Emami, Kianoush
Journal name IEEE transactions on industrial informatics
Volume number 12
Issue number 3
Start page 1084
End page 1092
Total pages 9
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2016-06
ISSN 1551-3203
Keyword(s) Doubly fed induction generator
Dynamic state estimation
Extended Kalman filter (EKF)
Particle filter (PF)
Phasor measurement unit (PMU)
Unscented Kalman filter (UKF)
Science & Technology
Technology
Automation & Control Systems
Computer Science, Interdisciplinary Applications
Engineering, Industrial
Computer Science
Engineering
Language eng
DOI 10.1109/TII.2016.2549940
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30129118

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