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

T. F. Orchi, T. K. Roy, M. A. Mahmud, Amanullah M. T. Oo

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 Australasian Universities Power Engineering Conference (AUPEC)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781538626474, 9781538626467
ISBN (Print)9781538626481
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event2017 Australasian Universities Power Engineering Conference, AUPEC 2017 - Melbourne, Australia
Duration: 19 Nov 201722 Nov 2017

Publication series

Name
ISSN (Electronic)2474-1507

Conference

Conference2017 Australasian Universities Power Engineering Conference, AUPEC 2017
Country/TerritoryAustralia
CityMelbourne
Period19/11/1722/11/17

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