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http://dx.doi.org/10.5370/JEET.2014.9.2.390

Dynamic Embedded Optimization Applied to Power System Stabilizers  

Sung, Byung Chul (School of Electrical and Electronic Engineering, Yonsei University)
Baek, Seung-Mook (Division of Electrical, Electronic and Control Engineering, Kongju National University)
Park, Jung-Wook (School of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Journal of Electrical Engineering and Technology / v.9, no.2, 2014 , pp. 390-398 More about this Journal
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 non-smooth 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.
Keywords
BFGS; Dynamic embedded optimization; Hybrid system; Power system stabilizer; PSS output limits; System damping;
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