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Record W1986474272 · doi:10.1109/poweri.2012.6479531

A new MPPT algorithm for PMSG based grid connected wind energy system with power quality improvement features

2012· article· en· W1986474272 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

Venue2012 IEEE Fifth Power India Conference · 2012
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsMaximum power point trackingWind powerPower optimizerControl theory (sociology)UnavailabilityRectifier (neural networks)Power factorTurbineInverterAC powerComputer scienceThree-phaseInsulated-gate bipolar transistorEngineeringVoltageElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper deals with the analysis, modeling, and control system for PMSG based wind turbine connected to the grid. The system consists of a wind turbine, a three-phase IGBT based rectifier a three-phase four wire IGBT based inverter, a three-phase grid source which supplies the energy to nonlinear unbalanced load in case of an unavailability of wind energy. A control technique proposed for maximum power point tracking is presented. The use of indirect current control for three-phase inverter allows dc bus voltage regulation. To achieve balanced sinusoidal grid currents and unity power factor, the four-leg current controlled voltage source inverter is actively controlled under varying wind speed and pitch angle. Simulation studies using Matlab/Simpowersystem have shown promising results.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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