A tap-chaging algorithm for the implementation of “Sen” transformer
Bibliographic record
Abstract
Summary form only given: The "Sen" transformer (ST) is made out of a transformer and tap changers and is capable of regulating the active and the reactive power flow selectively in an electric transmission line. This paper focuses on the development of a novel algorithm capable of selecting the best combination of tap-settings for the compensating windings of the ST. Digital simulation model of the ST including a detailed tap-changer model has been developed in the PSCAD/EMTDC software package. The tap-changing algorithm of the ST has been implemented through a FORTRAN code that is interfaced with the rest of the model. Should there be any change in the magnitude of the compensating voltage and its phase angle, the tap-positions are readjusted accordingly. The results obtained from the simulation of the ST are compared with the simulation results of the UPFC which is a power electronics-based power-flow controller. The comparison shows good agreement between the results and hence validates the effectiveness of the proposed algorithm and the performance of the ST.
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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) | 0.001 | 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".