Skip to main content

Power System Event Detection Using the Energy Detector: A Performance Analysis

by Ali Riza Ekti, Yilu Liu
Publication Type
Conference Paper
Book Title
2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Publication Date
Page Numbers
1 to 5
Publisher Location
New Jersey, United States of America
Conference Name
IEEE Innovative Smart Grid Technologies (ISGT) 2023
Conference Location
Washington, D.C., District of Columbia, United States of America
Conference Sponsor
IEEE Power and Energy Society
Conference Date

As the grid becomes smarter, the need to accurately detect, predict, and classify waveform phenomena is growing. When it comes to detecting high-frequency behaviors, i.e. transients, it is especially important to employ an event detection system that is able to accurately uncover these types of disturbances that would otherwise be lost with traditional hardware. In this paper, we first present the energy detector; a waveform event detection system that adaptively monitors a signal's energy and picks out high-frequency events that deviate from the nominal state. Secondly, we evaluate the performance of this detector against waveform data that have been corrupted by sensor irregularities. Using Oak Ridge National Laboratory's sensor testbed, we are able to show the results of the detector's performance against events that have been corrupted by three distinct sensor types, and examine how these results change with multiple trials. The results show excellent performance when detecting the beginning of an anomalous event with an average of less than 1% error.