In this section
@article{Gao:2026,
author = {Gao, J and Javaid, MS and Bhattacharjee, D and Chen, Y and Chaudhuri, B},
journal = {IEEE Transactions on Power Systems},
title = {In Situ Estimation of IBR Models for Analyzing Sub-Synchronous Oscillations},
year = {2026}
}
TY - JOUR
AB - The opaqueness of vendor-specific black-box modelsof inverter-based resources (IBRs) is a barrier to the systematic analysis of IBR-induced sub-synchronous oscillations (SSO). Existing approaches via impedance scan require isolating each IBR from the power system and interfacing it with a voltage or current source. However, this procedure is not feasible when the IBR device is embedded within the rest of the system (RoS). In this paper, we propose an augmented eigensystem realizationalgorithm (ERA)-based method to estimate the IBR model in situ, i.e., while the IBR remains connected to RoS. The core idea is to disentangle the IBR’s impedance spectra from its closed-loop voltage and current responses to a pulse probing. Notably, the augmented ERA enables automated model order selection, ensuring scalability for realistic IBR-rich zones of a power grid. The estimated linearized IBR models are then combined with the known RoS model, which yields a linearized state-space model of the overall power system. For validation, the case studies demonstrate the applicability and scalability of the proposed method. The frequency-domain and time-domain responses of the estimated IBR models closely match those of the actual models. Modal analysis accurately identifies the IBR with dominant contribution to poorly damped SSO, therefore enabling targeted and effective mitigation.
AU - Gao,J
AU - Javaid,MS
AU - Bhattacharjee,D
AU - Chen,Y
AU - Chaudhuri,B
PY - 2026///
TI - In Situ Estimation of IBR Models for Analyzing Sub-Synchronous Oscillations
T2 - IEEE Transactions on Power Systems
ER -