Post-Disturbance Transient Stability Status Prediction Using Synchrophasor Measurements
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Bibliographic record
Abstract
This paper presents a novel method to early predict the transient stability status of a power system after being subjected to a severe disturbance. The proposed technique is based on rate of change of voltage vs. voltage deviation (ROCOV-ΔV) characteristics of the post-disturbance voltage magnitudes obtained from synchrophasor measurements. Converging and diverging nature of the post-disturbance trajectories on ROCOV-ΔV plane is used to recognize the transient stability status. The proposed technique is computationally simple and fast compared to the rotor angle based transient stability prediction methods. Offline simulations and real-time experimental studies carried out for the IEEE 39-bus test system showed over 99% overall success rate under symmetrical and asymmetrical faults as well as changes in pre-disturbance conditions and network topology changes.
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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 | 0.000 | 0.000 |
| 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 it