Toward controlled wind farm output: adjustable power filtering
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 presents research into the limits on controllable power output from wind energy conversion systems. The viewpoint of imposing delivered power as a control input is explored though the introduction of a novel control structure for a fully-rated converter interfaced wind turbine. A singular perturbations decomposition of the system dynamics into two separate models underlies the new structure. A preliminary discussion of the stability implications for the turbine hub is offered, using torque-speed diagrams. Usefulness of the singular perturbation models and control structure is illustrated by its application in a power filtering methodology that specifies the delivered power as a filtered version of available wind power. Simulation results demonstrate the controlled system's ability to absorb wind power variations and completely isolate its torsional modes from the grid
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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