A Reversible Three-Phase Transformer Model for Energization Transients Based on Topological Remnant Flux Calculation
Bibliographic record
Abstract
As a component in power systems, the power transformer plays an important role. Hence, precise modeling can provide useful information about transformer behavior in steady-state and transient conditions. Due to some limitations of available transformer modeling methods, especially in transients, a reversible three-phase transformer model is presented in this paper based on topological remnant flux calculation. In this model, the equivalent magnetic circuit is based on the duality principle. This concept facilitates the connection of an equivalent magnetic circuit to the leakage inductances. The two important factors for transformer energization modeling are air-core inductance and remnant fluxes in different core parts. The calculation of air-core inductance is explained in the paper comprehensively. The simulation results of the proposed topological model for a real 96 MVA, 410/6.8 kV power transformer with a shell-type core in EMTP software shows a nice match between simulated inrush currents with considering remnant flux and the measured ones.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".