Sustained oscillations of grid-forming IBRs under unbalanced perturbation: Modal analysis and EMT studies
Bibliographic record
Abstract
• A novel decoupled-sequence model for GFM-IBRs is developed and validated. • Negative-sequence components degrade system oscillatory mode performance. • Modal analysis revealed oscillations caused by 2ω negative-sequence components. • Negative-sequence control enhances damping and improves system stability. • EMT studies confirm model accuracy under small unbalanced perturbations. Grid-forming inverter-based resources (GFM-IBRs) are considered crucial for power systems with high penetration renewable energy, but their negative sequence behavior under small perturbations remains understudied. This paper proposes a novel decoupled sequence dynamic modeling approach for GFM-IBRs incorporating double-fundamental-frequency negative-sequence components. Using eigenvalue-based stability assessment (EBSA) and electromagnetic transient (EMT) simulation, we reveal that: 1. The proposed modeling approach accurately captures GFM-IBR dynamics under unbalanced small-scale perturbations. 2. Negative-sequence components significantly impact system oscillatory modes. 3. Implementing additional negative-sequence control improves system damping. These findings provide new insights for designing robust GFM-IBR controls and enhancing stability in systems hosting high-penetration renewable systems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".