Dynamical equivalencing of large-scale power systems using second-order Arnoldi algorithms

Chia Chi Chu*, Hung Chi Tsai, Ming Hong Lai

*Corresponding author for this work

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

1 Scopus citations

Abstract

This paper proposes a technique for constructing dynamical equivalent networks of large-scale linearized power systems by using the Second-Order Arnoldi (SOAR) algorithm. Since the power system can be described by second-order swing equations, it is desired to construct a reduced-order model which can preserve its second-order structure. Inspired by the SOAR algorithm for single input systems, we will extend it with considering multiple inputs. Both block Arnoldi methods and global Arnoldi methods are investigated. System data of the reduced second-order system are obtained by the congruence transformation. Simulations about 50-machine power systems are performed to demonstrate the accuracy of the dynamical equivalent networks.

Original languageEnglish
Title of host publication2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Pages1973-1976
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan
Duration: 24 05 200927 05 2009

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Country/TerritoryTaiwan
CityTaipei
Period24/05/0927/05/09

Fingerprint

Dive into the research topics of 'Dynamical equivalencing of large-scale power systems using second-order Arnoldi algorithms'. Together they form a unique fingerprint.

Cite this