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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 OpenAlexaff
Mukhtiar Singh, Ambrish Chandra

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.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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

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 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

Citations60
Published2008
Admission routes1
Has abstractyes

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