Implementation of a Modified Augmented Nodal Analysis Based Transformer Model into the Backward Forward Sweep Solver
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Bibliographic record
Abstract
In this paper, a general method is presented to handle transformers in the backward forward sweep (BFS) based load flow analysis of unbalanced distribution systems. The proposed method is based on the modified augmented nodal analysis (MANA) approach and simply provides a single matrix that is used for both backward and forward sweep operations. The matrix is constructed in a straightforward and systematic manner, and the proposed solution technique is not restricted to a particular transformer connection and can easily handle uncommon configurations, some of which may present modeling challenges otherwise. The transformer impedances are described in full three-phase ohmic values in the matrix, which is the state of the art in distribution system analysis. Phase shifts introduced by different type of transformer connections are automatically taken into account and neutral grounding impedances are explicitly represented.
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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 | 0.000 |
| 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