SUMMARYThis paper presents an online dynamic event detection and location method that uses wide-area generator rotor frequency measurements. It combines a variance-based approach to event detection with a clusteringbased approach to event location. In the offline phase, the method involves partitioning the buses in a power network into coherent groups and selecting a single generator to represent each group. In the online phase, the method involves calculating the variance of each representative's rotor frequency over sliding window. This paper provides explanation and evidence that different detection thresholds should be used for variancebased triggers that have different window lengths. If the threshold is varied linearly with the window length then the variance-based criterion resembles the long-window derivative-based criterion. This paper provides guidelines for adjusting the window length and the detection threshold in a coordinated manner to balance the tradeoff between the detection delay and the prevalence of false detections.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.