A pseudospectral estimation method and its application in modelling power system inter-area oscillations

Rastko Zivanovic*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

A computational algorithm based on pseudospectral discretization of differential equations is developed to solve parameter estimation problems in nonlinear dynamical systems. The method approximates parameters and state trajectories by using Chebyshev interpolation polynomials. Nonlinear estimation problem discretized on the Chebyshev grid is solved iteratively. In each iteration a linear least squares sub-problem is solved a number of times on successfully finer grids till achieving the highest possible accuracy. The algorithm is applied to the problem of modelling inter-area oscillations using synchronized measurements obtained at terminals of transmission corridor of a large interconnected power system. Results of a simulation study are presented to demonstrate numerical accuracy of the proposed algorithm.

Original languageEnglish
Title of host publication15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe
PagesLS2b.11-LS2b.16
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe - Novi Sad, Serbia
Duration: 4 Sept 20126 Sept 2012

Publication series

Name15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe

Conference

Conference15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe
Country/TerritorySerbia
CityNovi Sad
Period04.09.201206.09.2012

Keywords

  • nonlinear estimation
  • Power system modelling
  • pseudospectral method

Fingerprint

Dive into the research topics of 'A pseudospectral estimation method and its application in modelling power system inter-area oscillations'. Together they form a unique fingerprint.

Cite this