Bibliographic record
Abstract
Power system stability is gaining importance because of unusual growth in power system. Day by day use of nonlinear load and other power electronics devices created distortions in the system which creates problems of voltage instability. Voltage stability of system is major concerns in power system stability. When a transmission network is operated near to their voltage stability limit it is difficult to control active-reactive power of the system. Our objectives are the analysis of voltage stability margin and active-reactive power control in proposed system which includes model of STATCOM with aim to analyse its behavior to improve voltage stability margin and active-reactive power control of the system under unbalanced condition. The study has been carried out using MATLAB Simulation program on three phase system connected to unbalanced three phase load via long transmission network and results of voltage and active-reactive power are presented. In future work, we can do power flow calculation of large power system network and find the weakest bus of the system and by placing STATCOM at that bus we can improve over all stability of the system
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.004 | 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".