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Record W2164947357 · doi:10.1109/ccece.2005.1557000

PWM AC/DC boost converter system for induction generator in variable-speed wind turbines

2006· article· en· W2164947357 on OpenAlexaff
Zitao Wang, Liuchen Chang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsVariable speed wind turbineInduction generatorPower optimizerWind powerBoost converterTurbinePWM rectifierControl theory (sociology)Pulse-width modulationInverterInductanceEngineeringElectrical engineeringRectifier (neural networks)VoltageComputer sciencePermanent magnet synchronous generatorMaximum power point tracking

Abstract

fetched live from OpenAlex

This paper describes an induction generator system utilizing PWM AC/DC voltage boost control technology for variable speed wind turbine applications. The system consists of an induction machine as a generator and a PWM AC/DC converter (rectifier), followed by an inverter connected to a utility grid. The machine leakage inductance is employed as the boost converter inductance to store the magnetic energy and to transfer it to the electric energy of the DC link for the wind turbine inverter. To accomplish satisfactory performance of the wind turbine PWM AC/DC converter, we have employed the field oriented control (FOC) and deadbeat control methods to control the induction generator. From the simulation studies conducted on a variable speed wind turbine generation system, the proposed system can meet the requirement of the wind turbine for constant DC link voltage under variable wind speeds. The DC link voltage remains constant, so the high quality AC current can be sent to 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.191
Teacher spread0.178 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2006
Admission routes1
Has abstractyes

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