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Feedback linearizing model predictive excitation controller design for multimachine power systems

Orchi, T. F., Roy, T. K., Mahmud, M. A. and Amanullah M. T. Oo 2017, Feedback linearizing model predictive excitation controller design for multimachine power systems, IEEE Access, vol. 6, pp. 2310-2319, doi: 10.1109/ACCESS.2017.2782782.

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Title Feedback linearizing model predictive excitation controller design for multimachine power systems
Author(s) Orchi, T. F.
Roy, T. K.
Mahmud, M. A.ORCID iD for Mahmud, M. A. orcid.org/0000-0002-5302-5338
Amanullah M. T. Oo
Journal name IEEE Access
Volume number 6
Start page 2310
End page 2319
Total pages 10
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2017-12-12
ISSN 2169-3536
Keyword(s) receding horizon
model predictive controller
excitation controller
feedback linearization
power systems stability
synchronous generators
Summary In this paper, a nonlinear excitation controller is designed for multimachine power systems in order to enhance the transient stability under different operating conditions. The two-axis models of synchronous generators in multimachine power systems along with the dynamics of IEEE Type & #x2013;II excitation systems, are considered to design the proposed controller. The partial feedback linearization scheme is used to simplify the multimachine power system as it allows to decouple a multimachine power system based on the excitation control inputs of synchronous generators. A receding horizon-based continuous-time model predictive control scheme is used for partially linearized power systems to obtain linear control inputs. Finally, the nonlinear control laws, which also include receding horizon-based control inputs, are implemented on an IEEE 10-machine, 39-bus New England power system. The superiority of the proposed scheme is evaluated by providing comparisons with a similar existing nonlinear excitation controller where the control input for the feedback linearized model is obtained using the linear quadratic regulator (LQR) approach. The simulation results demonstrate that the proposed scheme performs better as compared to the LQR-based partial feedback linearizing excitation controller in terms of enhancing the stability margin.
Language eng
DOI 10.1109/ACCESS.2017.2782782
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106613

Document type: Journal Article
Collections: School of Engineering
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.