Constant-Parameter Voltage-Behind-Reactance Synchronous Machine Models Considering Main Flux Saturation for EMTP-Type Programs
Bibliographic record
Abstract
The state-of-the-art saturable phase-domain (PD) and voltage-behind-reactance (VBR) synchronous machine models have been recently considered in the literature as reliable and accurate alternatives to the traditionalqd0 models. However, due to the rotor-position- and saturation-dependent interfacing circuit, implementing these models in electromagnetic transient (EMT) simulators has been challenging due to the need to refactorize the machine-network conductance matrix at each time step during simulation. This article presents two new VBR-based synchronous machine models with main flux saturation that yield constant interfacing conductance matrix in EMTP-type solution. Case studies in PSCAD/EMTDC verify that the proposed models demonstrate numerical accuracy similar to the state-of-the-art models, while achieving significant computational gains in multimachine systems.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".