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Detection and Analysis of Oscillation Events with SCADA-Based Statistical Algorithms

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The analysis of oscillations is essential for maintaining the stability, security, and reliable operation of modern power systems. In recent years, a wide range of algorithms have been developed to identify and locate potential sources of forced oscillations using high-resolution synchrophasor measurements. While Phasor Measurement Units (PMUs) are highly effective for detecting oscillatory behavior and characterizing system-wide dynamic responses, the physical source of an oscillation may not always be monitored by nearby synchrophasor measurements due to the limited coverage of PMUs across the network. Consequently, the comparatively sparse observability of generation units through synchrophasors, relative to

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