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Record W2899505173

Grid Fault Performance of Brushless Doubly-Fed Reluctance Machines in Wind Turbine Applications

2018· article· en· W2899505173 on OpenAlexaff
R.E. Betz, David G. Dorrell, Andrew M. Knight

Bibliographic record

VenueEuropean Conference on Power Electronics and Applications · 2018
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMagnetic reluctanceControl theory (sociology)Fault (geology)TurbineGridCoupling (piping)Computer scienceRotor (electric)TorqueWind powerControl engineeringEngineeringElectrical engineeringPhysicsMagnetMechanical engineeringMathematicsControl (management)
DOInot available

Abstract

fetched live from OpenAlex

The DFIG and the BDFRM have very similar dynamic equations, however the BDFRM's complex flux coupling produces machine parameters very different to the DFIG. These parameter differences result in different intrinsic machine behaviour under fault conditions. This paper develops and uses a simple model to explain the fault performance differences between the machines, and then verifies these predictions using a combination of simulation and experimental results. The general conclusion is that the intrinsic large leakage inductances of the BDFRM assist with protecting the rotor side converter during grid side fault 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 communication0.0000.001
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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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 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

Citations6
Published2018
Admission routes1
Has abstractyes

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