Paradigms and performance of distributed cyber-enabled control schemes for the smart grid
Why this work is in the frame
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Bibliographic record
Abstract
This paper investigates and compares distributed control approaches for transient stability in power systems. We consider a simple feedback linearization-based local control technique and the use of spectral clustering to identify control areas. The following distributed control scenarios are considered: 1) distributed control of all area generators, 2) distributed control only at the largest inertia generator of an area, and 3) hierarchical control that entails a combination of centralized (tier-2) and distributed (tier-1) control. We compare the performance of the three control approaches against various faults in the system and we investigate the effect of area clustering outcomes. Numerical results show the effectiveness of the proposed controller schemes against disturbances in the New England power system.
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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