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Record W2528966928 · doi:10.1109/tpwrd.2016.2614620

An Accurate Type III Wind Turbine Generator Short Circuit Model for Protection Applications

2016· article· en· W2528966928 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

VenueIEEE Transactions on Power Delivery · 2016
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsPolytechnique Montréal
FundersElectric Power Research Institute
KeywordsPhasorInduction generatorWind powerElectric power systemWaveformTurbineEngineeringAsynchronous communicationControl engineeringGenerator (circuit theory)Computer scienceEquivalent circuitShort circuitElectronic engineeringPower (physics)Electrical engineeringVoltageTelecommunications

Abstract

fetched live from OpenAlex

The integration of renewables into power systems introduces several technical challenges including the development of appropriate models for system protection studies and accurate evaluation of short circuit contributions. Converter-interfaced wind turbines (WTs) produce significantly different current waveform signatures compared to the traditional synchronous or asynchronous generators. This paper proposes a new phasor domain modeling approach for Type III WTs with doubly fed induction generators using the concept of control-based equivalent circuits. The proposed model accounts for the impact of negative sequence quantities on the WT control response to achieve accurate simulation of unbalanced faults.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.718

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 head0.030
GPT teacher head0.241
Teacher spread0.211 · 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