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Record W2544965921 · doi:10.1109/icelce.2010.5700651

Development of a test-rig for large scale wind turbine emulation

2010· article· en· W2544965921 on OpenAlexaff
P. K. Banerjee, Md Arifujjaman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsTurbineWind powerEngineeringWind speedRotor (electric)Controller (irrigation)Armature (electrical engineering)Induction generatorControl theory (sociology)Automotive engineeringMarine engineeringElectrical engineeringElectromagnetic coilComputer scienceAerospace engineeringPhysics

Abstract

fetched live from OpenAlex

This research describes the development of a test-rig for observing the behavior of a large wind turbine system and investigates the design of power electronics and controller performances in a laboratory environment. The test-rig consists of a PC, Lab Master I/O board, power electronics circuitry and a 3HP separately-excited DC motor which drives a wound rotor induction generator with the rotor windings short circuited. A PC based wind turbine model is employed to simulate the wind turbine behavior where the power coefficient is a function of the pitch angle and tip-speed ratio. A velocity digital PI controller algorithm is adopted for the wind turbine controller to ensure the theoretical rotational speed of a wind turbine rotor by the separately-excited DC motor. The surge current at the motor armature is controlled through algorithm thus avoids any external current limiting circuitry. The system design, model used and preliminary experimental results of the wind turbine test-rig for a wide range of wind speed are presented in the paper.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.234

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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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