|Title||Integration of a Self-Coherence Algorithm into DISAT for Forced Oscillation Detection|
|Year of Publication||2015|
|Authors||Jim Follum, Francis K Tuffner, Brett G Amidan|
|Institution||Pacific Northwest National Laboratory|
|Keywords||AA15-007, AARD, CERTS, RTGRM|
With the increasing number of phasor measurement units on the power system, behaviors typically not observable on the power system are becoming more apparent. Oscillatory behavior on the power system, notably forced oscillations, are one such behavior. However, the large amounts of data coming from the PMUs makes manually detecting and locating these oscillations difficult. To automate portions of the process, an oscillation detection routine was coded into the Data Integrity and Situational Awareness Tool (DISAT) framework.
Integration into the DISAT framework allows forced oscillations to be detected and information about the event provided to operational engineers. The oscillation detection algorithm integrates with the data handling and atypical data detecting capabilities of DISAT, building off of a standard library of functions. This report details that integration with information on the algorithm, some implementation issues, and some sample results from the western United States’ power grid.