Extraction and visualization of power system interarea oscillatory modes

Interarea oscillatory modes pose a threat to power system stability. An algorithm is presented for the identification and analysis of such modes from high resolution phasor measurement data. The process outlined includes data collection, conditioning, extraction of the primary oscillatory frequency, and determination of participating areas of the system. Additionally a visualization methodology is presented which displays these results. Using the tools developed in this paper the dominant modes and their associated regions of influence in a power system can be determined directly from measurement data.