Abstract

AbstractThis 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 clustering‐based 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 variance‐based 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. Copyright © 2010 John Wiley & Sons, Ltd.

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