Hybrid system based interpolation line search optimization applied to nonlinear controller in a power network

Jung Wook Park; Kyung Bin Song

doi:10.1093/ietfec/e89-a.11.3192

Hybrid system based interpolation line search optimization applied to nonlinear controller in a power network

Jung Wook Park, Kyung Bin Song

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, the interpolation line search (ILS) algorithm to find the desirable step length in a numerical optimization method is investigated to determine the optimal saturation limits with non-smooth nonlinearities. The simple steepest descent algorithm is used to illustrate that the ILS algorithm can provide adequate reductions in an objective function at minimal cost with fast convergence. The power system stabilizer (PSS) with output limits is used as an example for a nonlinear controller to be tuned. The efficient computation to implement the ILS algorithm in the steepest descent method is available by using the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The simulation results are given to show the performance improved by the ILS algorithm.

Original language	English
Pages (from-to)	3192-3198
Number of pages	7
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E89-A
Issue number	11
DOIs	https://doi.org/10.1093/ietfec/e89-a.11.3192
Publication status	Published - 2006 Nov

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Applied Mathematics

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10.1093/ietfec/e89-a.11.3192

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abstract = "In this paper, the interpolation line search (ILS) algorithm to find the desirable step length in a numerical optimization method is investigated to determine the optimal saturation limits with non-smooth nonlinearities. The simple steepest descent algorithm is used to illustrate that the ILS algorithm can provide adequate reductions in an objective function at minimal cost with fast convergence. The power system stabilizer (PSS) with output limits is used as an example for a nonlinear controller to be tuned. The efficient computation to implement the ILS algorithm in the steepest descent method is available by using the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The simulation results are given to show the performance improved by the ILS algorithm.",

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Hybrid system based interpolation line search optimization applied to nonlinear controller in a power network

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