February 7, 2025
Conference Paper

Statistical Performance of Forced Oscillation Detectors in the Presence of Missing Measurements

Abstract

In bulk power systems, measurement-based monitoring for large oscillations can help maintain system reliability. One of the challenges encountered in a recent field demonstration was the unavailability of measurements due to underlying measurement quality or communication problems. During the demonstration, the oscillation detector ignored a measurement location if even 10 seconds of data was missing. To extend the detector's ability to operate in these conditions, this paper evaluates the impact of three methods for addressing missing data. The strengths and weaknesses of each approach are evaluated using theoretical expressions for the probability of detection along with results from simulated data and publicly available field measurements. Based on these results, a suitable approach is identified that can extend the oscillation detector's performance when large segments of data are missing.

Published: February 7, 2025

Citation

Follum J.D., T. Ahmad, S. Biswas, T. Yin, and P.V. Etingov. 2024. Statistical Performance of Forced Oscillation Detectors in the Presence of Missing Measurements. In Proceedings of the 18th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2024), June 24-26, 2024, Auckland, New Zealand, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-194028. doi:10.1109/PMAPS61648.2024.10667260

Research topics