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A multi-flock approach to rapid dynamic generator coherency identification

In cases of intentional fault and cyber attack of smart grid systems, the reaction-time to mitigate disaster is small. Moreover, the large-scale impact of such disruptions is often in the form of inter-area oscillations. To address these issues, we propose a novel multi-flock-based technique to identify generator coherence within a short observation window suitable for mitigation approaches in smart grid systems. We present our approach and demonstrate its effectiveness in identifying generator clustering quickly for different fault scenarios of the 39-bus New England test system.