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


Autoria(s): H. R., Iswadi; Best, R. J.; Morrow, D. J.
Data(s)

30/06/2015

Resumo

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.

Identificador

http://pure.qub.ac.uk/portal/en/publications/identification-of-small-signal-oscillation-mode-parameters-from-simulated-and-actual-pmu-ringdown-data(2efb29a4-c993-473b-b543-7a58a296e041).html

http://dx.doi.org/10.1109/PTC.2015.7232327

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

H. R. , I , Best , R J & Morrow , D J 2015 , Identification of Small Signal Oscillation Mode Parameters from Simulated and Actual PMU Ringdown Data . in 2015 IEEE Eindhoven PowerTech . pp. 1-6 , IEEE PowerTech 2015 , Eindhoven , Netherlands , 29-2 July . DOI: 10.1109/PTC.2015.7232327

Tipo

contributionToPeriodical