The dynamic stability of voltage-regulated and speed-governed synchronous machines in power systems.
Bibliographic record
Abstract
The dynamic stability of a power system has been of constant interest for many years. Among the many contributors are Concordia, Heffron, Phillips, and Messerle. In most studies, the tie line resistance and the saliency effect were neglected. An attempt has been made in this thesis to study the dynamic stability of the power system in the small including all important effects such as tie line resistance, reactance, saliency, voltage regulator, stabilizer time constants and gains, and governor time constants and gain. Two different methods for studying stability have been applied, namely, the Routh-Hurwitz criterion and the D-partition method. The important results found in the study are the significant effects of tie line resistance and saliency upon the stability limit from Routh-Hurwitz criterion studies and upon the stability region from studies using the D-partition method. Also, significant are the effects of the machine short circuit ratio, the governor, the exciter and stabilizer time constants and gains, and their coordination.
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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".