Spatial Characterization of Sub-Synchronous Oscillations Using Black-Box IBR Models
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arXiv
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| Format: | Preprint |
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2026
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| author | Javaid, Muhammad Sharjeel Maureira, Gabriel Covarrubias Gupta, Ambuj Bhattacharjee, Debraj Gao, Jianli Chaudhuri, Balarko O'Malley, Mark |
| author_facet | Javaid, Muhammad Sharjeel Maureira, Gabriel Covarrubias Gupta, Ambuj Bhattacharjee, Debraj Gao, Jianli Chaudhuri, Balarko O'Malley, Mark |
| contents | Power systems with high penetration of inverter-based resources (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 models in 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, the regions susceptible to SSO can be identified in IBR-dominated power systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_15399 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Spatial Characterization of Sub-Synchronous Oscillations Using Black-Box IBR Models Javaid, Muhammad Sharjeel Maureira, Gabriel Covarrubias Gupta, Ambuj Bhattacharjee, Debraj Gao, Jianli Chaudhuri, Balarko O'Malley, Mark Systems and Control Power systems with high penetration of inverter-based resources (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 models in 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, the regions susceptible to SSO can be identified in IBR-dominated power systems. |
| title | Spatial Characterization of Sub-Synchronous Oscillations Using Black-Box IBR Models |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2603.15399 |