Advanced Power System Monitoring, Modelling, and Control Applications using FNET

Comparison of Different Methods for Identification of Dominant Oscillation Mode

“…The signal processing based techniques discussed in this paper provides satisfactory performance in detecting the low frequency modes. The results from Table I obtained by all applied methods are compared to inter-area oscillation modal analysis results presented in [1]. According to reference [1] 0.2 Hz is the dominant oscillation mode shared by all the monitoring locations during large disturbance in North America.…”

“…Frequencies obtained from FDRs are used for identification of inter-area modes and to compare obtained results according to FNET inter-area oscillation modal analysis results presented in [1]. In [1] is concluded that 0.2 Hz is the major mode shared by all the monitoring locations and this value is used as measure for validation of results accuracy in accordance with a particular technique used for identification of dominant modes. For further analyses are taken frequency signals from the north-western (Winnipeg), the south-eastern region (Pansacola) and the north-eastern region (Boston).…”

“…The analyses are performed on real frequency signals obtained from FNET/GridEye system during the earthquake that triggered the shutdown of the North Anna Nuclear Generating Station resulting in 1600 MW of generation loss in the Eastern Interconnect [15]. Frequencies obtained from FDRs are used for identification of inter-area modes and to compare obtained results according to FNET inter-area oscillation modal analysis results presented in [1]. In [1] is concluded that 0.2 Hz is the major mode shared by all the monitoring locations and this value is used as measure for validation of results accuracy in accordance with a particular technique used for identification of dominant modes.…”

“…This paper will focus on a system exposed to major disturbance, the largest earthquake in the eastern U.S. that happened on 23 August 2011. The East Coast Earthquake caused a 1600 MW generator trip, and the measured frequencies obtained from FNET/GridEye, high dynamic accuracy Frequency Dis-Original scientific paper/Izvorni naučni rad turbance Recorders (FDRs) are used to identify the inter-area mode for this event and area [1]. The FNET is a system for monitoring grid dynamics using FDRs to collect synchronized voltage, angle, and frequency measurements.…”