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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 OpenAlexaff
Thomas Kauffmann, Ulas Karaagac, Ilhan Koçar, Simon Jensen, Jean Mahseredjian, Evangelos Farantatos

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.

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)0.000
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: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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

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

Citations57
Published2016
Admission routes1
Has abstractyes

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