DocumentCode :
1982471
Title :
Identification of small signal oscillation mode parameters from simulated and actual PMU ringdown data
Author :
Iswadi, HR ; Best, Robert J. ; John Morrow, D.
Author_Institution :
Energy, Power and Intelligent Control (EPIC), Queen´s University Belfast, Ashby Building, Stranmillis Road, BT95AH, United Kingdom
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
1
Lastpage :
6
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.
Keywords :
Damping; Generators; Integrated circuit interconnections; Oscillators; Phasor measurement units; Power system stability; eigenvalue analysis; mode parameters; phasor measurement unit; power spectral density; prony analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven, Netherlands
Type :
conf
DOI :
10.1109/PTC.2015.7232327
Filename :
7232327
Link To Document :
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