Inter-area power oscillation identification using synchronized ambient and ringdown data

This paper presents inter-area power oscillation identification based on the synchronized PMU data. The identification is carried out during both ringdown and ambient condition. Prony analysis is used to identify the mode during ring-down condition. While, modified Yule-Walker (MYW) is deployed during ambient condition. To verify the result of identification, it is compared to modal analysis result. The benchmark two-area test system is used to demonstrated the identification process. The result shows that it is close to result from modal analysis. Thus, it indicates that both algorithms are promising for online monitoring of inter-area power oscillation.