June 1, 2021
Journal Article

A Statistics-Based Threshold for the RMS-Energy Oscillation Detector

Abstract

System operators and reliability coordinators currently rely on extensive baselining studies to set thresholds for their oscillation detectors. The resulting thresholds are based largely on engineering judgment and may vary significantly between organizations. In this paper, statistical distribution theory is used to derive a detection threshold for the widely deployed root-mean-square (RMS)-energy detector. This expression provides a theoretical basis for the detector's configuration, simplifies the process of selecting the threshold, and enables improved consistency among organizations that need to coordinate during system-wide events. Three methods for calculating the threshold using synchrophasor measurements are also proposed. These methods ensure that the threshold can be calculated reliably for various applications. Tests with simulated and field-measured data demonstrate that the statistics-based threshold provides consistent detection of grid disturbances while maintaining a low probability of false alarm.

Revised: January 11, 2021 | Published: June 1, 2021

Citation

Follum J.D., J.T. Holzer, and P.V. Etingov. 2021. "A Statistics-Based Threshold for the RMS-Energy Oscillation Detector." International Journal of Electrical Power & Energy Systems 128. PNNL-SA-155196. doi:10.1016/j.ijepes.2020.106685