Fast computation of post-contingency system margins for voltage stability assessments of large-scale power systems
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Bibliographic record
Abstract
A technique to compute the post-contingency system margins for voltage stability assessment is presented. The voltage collapse point of the system base case is first computed using a traditional PV curve method. When a contingency is applied to this fully stressed base case, loads must be shed in order to maintain voltage stability. The key idea of the proposed method is to determine the right amount of load shedding that leaves the post-contingency system at its nose point. The system margin is equal to the base case margin minus the load shedding amount. The amount of load to shed is computed by a modified power flow method, where the amount of loading shedding is parameterised by an additional unknown variable. The technique has been tested on a large-scale power system with 1725 buses. The results show that the proposed approach is very efficient for voltage stability assessment when a large number of contingencies are involved.
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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)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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