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Record W2065492146 · doi:10.1049/ip-epa:20050388

Steady-state stability analysis of doubly-fed induction generators under decoupled <i>P</i> – <i>Q</i> control

2006· article· en· W2065492146 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

VenueIEE Proceedings - Electric Power Applications · 2006
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsMcGill University
FundersNational Science Council
KeywordsInduction generatorControl theory (sociology)Stability (learning theory)Steady state (chemistry)Eigenvalues and eigenvectorsGenerator (circuit theory)Doubly fed electric machinePower (physics)PhysicsMathematicsBounded functionControl (management)Computer scienceAC powerMathematical analysisChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

Based on the standard mathematical model of the doubly-fed induction generator (DFIG) and steady-state stability analysis, DFIGs operating under decoupled P–Q control and maintaining fixed real power outputs are expected to be unstable. Yet actual field experiences suggest to the contrary. The research presented here resolves this contradiction and confirms that DFIGs have extensive steady-state stability regions. The research reveals, for the first time, that a DFIG&apos;s stable region is bounded by unstable regions on both the low- and high-speed ends. The eigenvalue predictions of the unstable regions have been confirmed by simulations.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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