Event Detection Using Correlation within Arrays of Streaming PMU Data

Authors

Rich Meier, Oregon State University
Ben McCamish, Oregon State UniversityFollow
Eduardo Cotilla-Sanchez, Oregon State University
Jordan Landford, Portland State University
Robert B. Bass, Portland State UniversityFollow
David Chiu, University of Puget Sound

Published In

2018 IEEE Power & Energy Society General Meeting (PESGM)

Document Type

Post-Print

Publication Date

8-1-2018

Subjects

Electric power systems -- Measurement, Phasor measurement units, Correlation (Statistics)

Abstract

Phasor measurement units provide real-time power system monitoring. We present a data analysis method that leverages statistical correlation and analysis methods to identify power system events. This research uses archived phasor measurement unit data to show that the method is useful for detecting power system events. Results from a lighting strike case study are presented. A monitoring stratagem based on PMU clustering is discussed, and the viability of monitoring pertinent statistical parameters over various clustering schemes is demonstrated.

Description

© Copyright 2019 IEEE - All rights reserved.

Locate the Document

http://doi.org/10.1109/PESGM.2018.8585774

DOI

10.1109/PESGM.2018.8585774

Persistent Identifier

https://archives.pdx.edu/ds/psu/28383

Citation Details

R. Meier, B. McCamish, E. Cotilla-Sanchez, J. Landford, R. B. Bass and D. Chiu, "Event Detection Using Correlation within Arrays of Streaming PMU Data," 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5. doi: 10.1109/PESGM.2018.8585774