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Record W2110384814 · doi:10.1109/pes.2006.1709023

Toward controlled wind farm output: adjustable power filtering

2006· article· en· W2110384814 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue2006 IEEE Power Engineering Society General Meeting · 2006
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWind powerControl theory (sociology)TurbinePower optimizerElectric power systemControl engineeringTorqueComputer sciencePower (physics)Power controlGridEngineeringControl (management)Maximum power point trackingMathematicsPhysicsElectrical engineeringMechanical engineering

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.182
Teacher spread0.175 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it