In this section
@inproceedings{Chen:2026,
author = {Chen, Y and Bhattacharjee, D and Chaudhuri, B and O'Malley, M and Qin, N and Expethit, AP},
publisher = {IEEE},
title = {Data-Driven Post-Event Analysis with Real-World Oscillation Data from Denmark},
year = {2026}
}
TY - CPAPER
AB - This paper demonstrates how Extended DynamicMode Decomposition (EDMD), grounded in Koopman operator theory, can effectively identify the main contributor(s) to oscillations in power grids. We use PMU data recorded from a real 0.16 Hz oscillation event in Denmark for post-event analysis. To this end, the EDMD algorithm processed only voltage and current phasors from nineteen PMUs at different voltage levels across theDanish grid. In such a blind-test setting with no supplementary system information, EDMD accurately pinpointed the location of the main contributor to the 0.16 Hz oscillation. Energinet later confirmed that this was a 145 MW solar photovoltaic (PV) park with control system issues. Notably, conventional approaches, such as the dissipating energy flow (DEF) method used in the ISO-NE OSLp tool did not correctly identify this plant. This joint validation with Energinet, reinforcing earlier studies using simulated IBR-dominated systems and real PMUdata from ISO-NE, highlights the potential of EDMD-based post-event analysis for identifying major oscillation contributors and enabling targeted SSO mitigation.
AU - Chen,Y
AU - Bhattacharjee,D
AU - Chaudhuri,B
AU - O'Malley,M
AU - Qin,N
AU - Expethit,AP
PB - IEEE
PY - 2026///
TI - Data-Driven Post-Event Analysis with Real-World Oscillation Data from Denmark
ER -
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