Performance of Ratios‐Based Transformer Differential Protection Scheme in the Presence of Resistive Superconductor Fault Current Limiter
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Bibliographic record
Abstract
With the increased demand for electrical power, it is required to increase the number of power transformers in power systems. One of the main challenges facing protection engineers is the protection and isolation of power transformers in the shortest time possible, during internal faults. One of the alternative solutions to reduce the fault current in the power system is the application of a superconductor fault current limiter (SFCL). In this article, the ratios-based transformer differential protection algorithm is evaluated in the presence of resistive SFCL during internal fault conditions. A model of the system under study, including SFCL, is simulated and studies are performed in MATLAB/Simulink environment. The results demonstrate the capability of the ratios-based differential protection scheme to detect internal faults in the presence of SFCL.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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