Identification of Small Signal Oscillation Mode Parameters from Simulated and Actual PMU Ringdown Data

Iswadi H. R., R. J. Best, D. J. Morrow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents the practical use of Prony Analysis to identify small signal oscillation mode parameters from simulated and actual phasor measurement unit (PMU) ringdown data. A well-known two-area four-machine power system was considered as a study case while the latest PMU ringdown data were collected from a double circuit 275 kV main interconnector on the Irish power system. The eigenvalue analysis and power spectral density were also conducted for the purpose of comparison. The capability of Prony Analysis to identify the mode parameters from three different types of simulated PMU ringdown data has been shown successfully. Furthermore, the results indicate that the Irish power system has dominant frequency modes at different frequencies. However, each mode has good system damping.
Original languageEnglish
Title of host publication2015 IEEE Eindhoven PowerTech
Pages1-6
DOIs
Publication statusPublished - 30 Jun 2015
EventIEEE PowerTech 2015 - Netherlands, Eindhoven, Netherlands
Duration: 29 Jun 201502 Jul 2015

Conference

ConferenceIEEE PowerTech 2015
CountryNetherlands
CityEindhoven
Period29/06/201502/07/2015

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