Impacts of Various Representations of Core Saturation Curve on Ferroresonance Behavior of Transformers
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Bibliographic record
Abstract
This paper investigates and compares the impacts of two widely used types of the transformer core representation, i.e. piecewise linear magnetization characteristic and two-term polynomial-based saturation curve, on the ferroresonance behaviors of a power transformer. The polynomial-based saturation curve is implemented in the EMTP-RV environment, using Dynamic Link Library (DLL) programming feature. Such an implementation participates in the solution of the equation set of the system and results in true nonlinear solutions of the ferroresonance phenomenon. The simulation results indicate that the ferroresonance behaviors of the transformer under study, based on the piecewise linear and the polynomial saturation characteristics, are significantly different. The two-term polynomial has limited flexibility to represent the saturation characteristic of the transformer around the knee point and in both linear and saturation regions. Although ferroresonance behavior of a transformer highly depends on the characteristic of the core above the rated excitation level, an inaccurate representation of the characteristic in the linear part can result in erroneous ferroresonance conditions.
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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)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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