Generalized state-space saturable induction machine model using a voltage-behind-reactance formulation
Bibliographic record
Abstract
Modeling of induction machines (IMs) for power systems transient studies has been receiving significant attention in the literature, where a continuous effort is made to improve the accuracy and efficiency of common general-purpose models. Among recently proposed methods, a so-called voltage-behind-reactance (VBR) formulation has been shown to improve the interfacing of machine models with the external network. Depending on the rotor type and the required model fidelity, the rotor may be represented using one or two rotor equivalent windings. In this paper, we propose a new algebraically exact generalized IM model using the VBR formulation. The proposed full-order model incorporates two rotor windings and main flux saturation, whereas a simpler model with only one rotor winding can also be easily obtained. The validity of the new model is first verified by comparing it to a traditional (reference) model. The improved accuracy and computational efficiency of the proposed VBR model is then demonstrated when the IM is interfaced to an external inductive network.
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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 | 0.001 |
| 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 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".