Dynamic embedded optimization applied to power system stabilizers

Byung Chul Sung, Seung Mook Baek, Jung Wook Park

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The systematic optimal tuning of power system stabilizers (PSSs) using the dynamic embedded optimization (DEO) technique is described in this paper. A hybrid system model which has the differential-algebraic-impulsive-switched (DAIS) structure is used as a tool for the DEO of PSSs. Two numerical optimization methods, which are the steepest descent and Broyden-Fletcher-Goldfarb- Shanno (BFGS) algorithms, are investigated to implement the DEO using the hybrid system model. As well as the gain and time constant of phase lead compensator, the output limits of PSSs with nonsmooth nonlinearities are considered as the parameters to be optimized by the DEO. The simulation results show the effectiveness and robustness of the PSSs tuned by the proposed DEO technique on the IEEE 39 bus New England system to mitigate system damping.

Original languageEnglish
Pages (from-to)390-398
Number of pages9
JournalJournal of Electrical Engineering and Technology
Volume9
Issue number2
DOIs
Publication statusPublished - 2014 Mar 1

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Hybrid systems
Tuning
Lead
Damping

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Dynamic embedded optimization applied to power system stabilizers. / Chul Sung, Byung; Baek, Seung Mook; Park, Jung Wook.

In: Journal of Electrical Engineering and Technology, Vol. 9, No. 2, 01.03.2014, p. 390-398.

Research output: Contribution to journalArticle

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