An Amplitude-Based Threshold Design Process for Reliable RMS-Energy Oscillation Detectors

Oscillation detection is one of the key reliability-enhancing capabilities enabled by phasor measurement unit (PMU) technology. Several grid operators have deployed commercial platforms that implement oscillation detection by monitoring the RMS-energy of measured signals. Oscillations are detected when the signal's energy crosses a predetermined threshold. The current process of setting these thresholds requires the analysis of at least three months of historical data, which is time consuming and expensive. The thresholding process seeks to avoid false alarms, but it does not evaluate the likelihood that a given oscillation amplitude will trigger detection. As a result, thresholds often require re-tuning to avoid nuisance alarms. This paper proposes a method for designing RMS-energy thresholds that directly integrates oscillation amplitudes selected by the practitioner. The method improves upon previously published work by providing the practitioner with 1) guidance on the range of amplitudes that will lead to a successful design, and 2) a complete summary of the threshold's expected performance. The method is explained and tested using field-measured PMU data to demonstrate its practical viability.

Authors

Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Amplitude-Based Threshold Design Process for Reliable RMS-Energy Oscillation Detectors

Clifton Black, Shuchismita Biswas, Jim Follum, Michael Breuhl
ScholarSpace (University of Hawaii at Manoa)
Power System Optimization and Stability
article

An Amplitude-Based Threshold Design Process for Reliable RMS-Energy Oscillation Detectors

Clifton Black, Shuchismita Biswas, Jim Follum, Michael Breuhl
article en

Abstract

Oscillation detection is one of the key reliability-enhancing capabilities enabled by phasor measurement unit (PMU) technology. Several grid operators have deployed commercial platforms that implement oscillation detection by monitoring the RMS-energy of measured signals. Oscillations are detected when the signal's energy crosses a predetermined threshold. The current process of setting these thresholds requires the analysis of at least three months of historical data, which is time consuming and expensive. The thresholding process seeks to avoid false alarms, but it does not evaluate the likelihood that a given oscillation amplitude will trigger detection. As a result, thresholds often require re-tuning to avoid nuisance alarms. This paper proposes a method for designing RMS-energy thresholds that directly integrates oscillation amplitudes selected by the practitioner. The method improves upon previously published work by providing the practitioner with 1) guidance on the range of amplitudes that will lead to a successful design, and 2) a complete summary of the threshold's expected performance. The method is explained and tested using field-measured PMU data to demonstrate its practical viability.

ScholarSpace (University of Hawaii at Manoa)
Affordable and clean energy
Openalex Percentile: Top 42%
Power System Optimization and Stability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.