Comments and Overviews on the Islanding Methods of Large Interconnected Power Grid
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
Grid islanding is the last defense of the security and stability of power grid. It can inhibit the spreading of serious disturbance in power system, such as oscillatory and instability between asynchronous generator groups, and create self-balancing environment for every isolated island. The successful grid islanding control can save many power loads, and avoid large-scale blackout, such as the blackout of USA and Canada in 2003, the Brazil blackout in 2009 and the India blackout in 2012. So the grid islanding control would contribute to reduce the losses of national economy, and maintain the social stability and safety. On the contrary, an unsuccessful grid islanding control would suffer the power system and the society. In the paper, the development of the grid islanding control had been overviewed from the aspects of engineering application and theoretical research. The theoretical research of grid islanding control and its problems were summarized, including the splitting surface definition methods and splitting timing judgment methods. Suggestions for these issues were proposed in the paper.
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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