Network-aided strategy and breaker impacts on voltage instability corrective actions for power systems with DGs
Bibliographic record
Abstract
This paper investigates the impacts of circuit breaker performance on voltage instability corrective actions for power systems with distributed generations (DGs) under contingencies, and proposes a new computer network-aided strategy for stability improvement. This strategy aims to save a distribution system from imminent voltage collapse due to contingencies occurring in subtransmission system, distribution system, or DG systems from renewable energy resources. The proposed strategy is based on an instability corrective action using an optimal load shedding operation and a stability enhancive action using available capacity of DGs. This paper shows the use of state-of-the-art digital signal processing technology for determination of correct stability controls, and the application of modern computer networking technology for monitoring of distribution system operating states and transmitting of data and stability control commands. This paper presents a new two-layer fault-tolerant architecture designed for network-aided voltage instability corrective actions.
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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 | 0.000 | 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 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".