Adapting DFIGs for doubly-fed induction motors operation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper researches on: (i) adaptation of the popular 1.5 MW doubly-fed induction generators (DFIGs) used in wind farms for the motor market; (ii) the characteristics of the adapted DFIMs. The paper shows that the DFIM has 4-quadrant operation: positive speed motoring extending to 2 pu, regenerative braking, negative speed motoring and braking at negative speed. In order to exploit existing economic design based on rotor-side VSCs de-rated at maximum slip of 0.3, autotransformers are required for starting and operation in the extended speed range. Using decoupled P-Q control developed for DFIGs, the DFIMs have capability to operate at unity or leading power factor and as a precision speed and position controller.
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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 | 0.000 |
| 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)
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