MétaCan
Menu
Back to cohort
Record W1943592765 · doi:10.1109/pesc.2006.1711746

Control and performance of wind turbine generators based on permanent magnet synchronous machines feeding a diode rectifier

2006· article· en· W1943592765 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsPermanent magnet synchronous generatorTurbineWind powerRectifier (neural networks)Maximum power point trackingControl theory (sociology)EngineeringWind speedComputer scienceVoltageAutomotive engineeringElectrical engineeringControl (management)Physics

Abstract

fetched live from OpenAlex

Permanent magnet based wind generators are one of the more promising technologies. This paper presents a simple strategy for controlling the speed and power of the wind turbine generator (WTG), connected to the grid though a diode-rectifier converter, which is less expensive but more reliable than IGBT back-to-back converter. The paper details an implementation allowing maximum power point tracking and low voltage ride through requirements. Detailed models are presented and explained. The performance of the WTG under variable wind conditions and extreme contingency, i.e. a three-phase to ground short circuit on the ac bus, is investigated. The proposed control strategy has the advantages of low parameter sensitivity and fast response speed. The paper demonstrates the WTG has excellent performances in both system normal state and contingency.

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 categoriesnone
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 score0.485
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.003
GPT teacher head0.166
Teacher spread0.163 · 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

Quick stats

Citations49
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicElectric Motor Design and AnalysisFrench-language works237,207