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Record W2206316925 · doi:10.1109/ias.2015.7356809

Control of doubly fed induction generator in standalone wind energy conversion system

2015· article· en· W2206316925 on OpenAlexaff
Shailendra Sharma, Bhim Singh, Ambrish Chandra, Kamal Al‐Haddad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsStatorControl theory (sociology)Induction generatorWind powerHarmonicsConvertersMaximum power point trackingTransformerVoltageEngineeringVector controlVoltage sourceInduction motorComputer scienceElectrical engineeringInverter

Abstract

fetched live from OpenAlex

This paper presents control of a doubly fed induction generator (DFIG) in a standalone wind energy conversion system (SWECS) to feed three-phase four-wire consumer loads. The voltage and frequency controller (VFC) is implemented using two voltage source converters (VSC's) for a DFIG based SWECS. Two VSCs share common DC link and it is supported with battery energy storage system (BESS). The rotor-side converter (RSC) is controlled in field oriented mode to keep the stator terminal voltage, its frequency is regulated and to achieve maximum power point tracking (MPPT). The speed of a DFIG is estimated for sensor-less control. The stator-side converter (SSC) controls the stator currents to minimize stator winding losses. Furthermore, it also ensures load leveling, load balancing and harmonics elimination. In-between SSC and point of common coupling (PCC) a star-delta transformer is used to compensate neutral current and to facilitate suitable choice on DC-link BESS voltage. The proposed VFC for a SWECS is extensively investigated under varying speeds and loads.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.504

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 head0.011
GPT teacher head0.182
Teacher spread0.171 · 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 designSimulation or modeling
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

Citations4
Published2015
Admission routes1
Has abstractyes

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