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Record W2543323639 · doi:10.1109/iecon.2008.4758299

Power maximization and voltage sag/swell ride-through capability of PMSG based variable speed wind energy conversion system

2008· article· en· W2543323639 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
TopicWind Turbine Control Systems
Canadian institutionsÉcole de Technologie SupérieureUniversité du Québec à Montréal
Fundersnot available
KeywordsWind powerPermanent magnet synchronous generatorVoltage sagSwellTurbineControl theory (sociology)Wind speedGridInterconnectionEngineeringElectric power systemVoltageComputer scienceAutomotive engineeringPower (physics)Electrical engineeringTelecommunicationsAerospace engineeringPower quality

Abstract

fetched live from OpenAlex

The increasing penetration level of wind farms in power system network requires better understanding of short-term voltage stability and ride through capability before their interconnection to grid. The future wind turbines must stay connected irrespective of any type of disturbance in grid. To achieve reliable operation and control, the wind turbines must be actively controlled in order to meet the stringent grid interconnection requirements. This paper presents the modeling and performance analysis of wind energy conversion system (WECS) under different kind of grid disturbances. A model of directly driven, variable speed wind turbine based on multi-pole permanent magnet synchronous generator (PMSG) is developed and simulated in MATLAB/SPS environment. The simulation analysis demonstrates the maximum power extraction and enhanced ride through capability of WECS under three phase voltage sag/swell conditions.

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 score0.341
Threshold uncertainty score0.767

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 head0.006
GPT teacher head0.161
Teacher spread0.155 · 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

Citations60
Published2008
Admission routes1
Has abstractyes

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