Identification and location of long‐term voltage instability based on branch equivalent
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A new branch equivalent is proposed to identify and locate long‐term voltage instability in both distribution and transmission network. In the proposed equivalent, not only the power flow and the sensitivity information remain consistent before and after the equivalence, but also the equivalent voltages and admittances are completely independent of loads, which ensure the equivalent accuracy in voltage stability analysis. Based on the proposed equivalent, an approach is presented to identify system voltage stability. The proposed approach also locates weak branches and buses, where an enhancement or operational measure can be used to improve system voltage stability. The effectiveness of the proposed equivalent and approach is demonstrated using two radial systems, five IEEE systems and four actual utility systems with a system size from 5‐buses to 3120‐buses.
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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 | 0.000 | 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