This project is enhancing a spectral coherence algorithm to improve the detection of persistent oscillations in the power system in a manner that will provide better information on the characteristics of these oscillations to the end user. This phase of work will refine the approach by investigating new algorithms for the oscillation detection within the DISAT framework, as well as further investigating the use of the statistical quantities to aid in alarming.
Improved Oscillation Detection for Alarming and Daily Summary Reports
Forced Oscillation Detection and Analysis with the DISAT Application. Pacific Northwest National Laboratory, 2016. .
"Initial Results in Using a Self-Coherence Method for Detecting Sustained Oscillations." IEEE Transactions on Power Systems 30.1 (2015) 522 - 530. .
Integration of a Self-Coherence Algorithm into DISAT for Forced Oscillation Detection. Pacific Northwest National Laboratory, 2015. .