In this section
@inproceedings{Javaid:2026,
author = {Javaid, MS and Covarrubias, Maureira G and Gupta, A and Bhattacharjee, D and Gao, J and Chaudhuri, B and O'Malley, M},
publisher = {IEEE},
title = {Spatial Characterization of Sub-Synchronous Oscillations Using Black-Box IBR Models},
year = {2026}
}
TY - CPAPER
AB - Power systems with high penetration of inverter-basedresources (IBRs) are prone to sub-synchronous oscillations(SSO). The opaqueness of vendor-specific IBR models limits the ability to predict the severity and the spread of SSO. This paper demonstrates that black-box IBR models estimated through frequency-domain identification techniques, along with dynamic network model can replicate the actual oscillatory behavior. The estimated IBR models are validated against actual IBR modelsin a closed-loop multi-IBR test system through modal analysis by comparing closed-loop eigenvalues, and participation factors. Furthermore, using output-observable right eigenvectors, spatial heatmaps are developed to visualize the spread and severity of dominant SSO modes. The case studies on the 11-bus and 39-bus test systems confirm that even with the estimated IBR models, theregions susceptible to SSO can be identified in IBR-dominated power systems.
AU - Javaid,MS
AU - Covarrubias,Maureira G
AU - Gupta,A
AU - Bhattacharjee,D
AU - Gao,J
AU - Chaudhuri,B
AU - O'Malley,M
PB - IEEE
PY - 2026///
TI - Spatial Characterization of Sub-Synchronous Oscillations Using Black-Box IBR Models
ER -
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