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Feedback linearizing model predictive excitation controller design for two-axis models of synchronous generators in single machine power systems

Version 2 2024-06-02, 13:46
Version 1 2018-05-04, 15:20
conference contribution
posted on 2024-06-02, 13:46 authored by TF Orchi, TK Roy, MA Mahmud, Aman Maung Than Oo
In this paper, a nonlinear feedback linearizing model predictive excitation control scheme is proposed for synchronous generators in a single machine power system. The proposed control scheme is employed by considering two-axis models of synchronous generators while considering the dynamic of an IEEE Type-II excitation system. The partial feedback linearization scheme is used to augment single machine power systems in the form of reduced-order linear systems. A receding horizon-based continuous-time model predictive control scheme is then employed to obtain linear control inputs for feedback linearized power systems with single machine. The effectiveness of the proposed control scheme is evaluated on a single machine infinite bus (SMIB) power system under different operating conditions. Comparisons, with a partial feedback linearizing linear quadratic regulator (LQR) controller, are also provided in this paper to further demonstrate the superiority of the proposed scheme.

History

Volume

2017-November

Pagination

1-6

Location

Melbourne, Vic.

Start date

2017-11-19

End date

2017-11-22

eISSN

2474-1507

ISBN-13

978-1-5386-2647-4

Language

English

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2018, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

AUPEC 2017 : Smart power grids in the 21st century : Proceedings of the Australasian Universities Power Engineering Conference 2017

Event

IEEE Power & Energy Society. Conference (2017 : Melbourne, Vic.)

Publisher

Institute of Electrical and Electronic Engineers

Place of publication

Piscataway, N.J.

Series

IEEE Power & Energy Society Conference