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Record W2111801729 · doi:10.1109/ccece.2000.849768

A new DC link voltage boost scheme of IGBT inverters for wind energy extraction

2002· article· en· W2111801729 on OpenAlexafffund
Hongwei Huang, Liuchen Chang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsUniversity of New Brunswick
FundersNatural Resources Canada
KeywordsRectifier (neural networks)OvervoltageVoltageElectrical engineeringWind powerInsulated-gate bipolar transistorInverterComputer scienceTurbineEngineering

Abstract

fetched live from OpenAlex

This paper presents a new DC-link voltage boost method for adequate voltage coordination in grid-connected wind energy conversion inverter systems using insulated-gate bipolar transistors (IGBTs). The method provides a simple structure to solve DC-link voltage shortage problem at low winds by adding one switch between one of rectifier input legs and the middle point of the DC link reservoir capacitor. The switch, turned on at low winds, can boost the DC link voltage up to a double value compared to the situation without the switch. Consequently, a double voltage rectifier is used for this method. While the switch is turned off at high winds, the system brings the DC link voltage back to the normal to eliminate frequent overvoltage protection. The double voltage rectifier method can make more wind energy extraction at low winds than that without it. However, it brings an unsymmetrical operation to the turbine generator, thus resulting in a mechanical vibration of the wind turbine. To solve the unsymmetrical operation problem, a symmetrical double voltage rectifier is proposed. In this paper, both methods are described. The computer simulation results on both methods are presented.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.554

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 head0.024
GPT teacher head0.221
Teacher spread0.196 · 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 teacher head, 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
Published2002
Admission routes2
Has abstractyes

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