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Record W2067246442 · doi:10.1109/tste.2013.2276616

Interconnection of Direct-Drive Wind Turbines Using a Series-Connected DC Grid

2013· article· en· W2067246442 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 Sustainable Energy · 2013
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of TorontoMcGill University
Fundersnot available
KeywordsOffshore wind powerElectrical engineeringWind powerTurbineEngineeringPower optimizerForward converterTopology (electrical circuits)VoltageBoost converterInverterMaximum power point tracking

Abstract

fetched live from OpenAlex

This paper presents a “distributed high-voltage dc (HVDC) converter” for offshore wind farms. The proposed converter topology allows series interconnection of wind turbines with the need of neither ac transformer nor offshore platform at the sending end. Each wind turbine is equipped with a 5-MW permanent-magnet synchronous generator and an ac-dc-dc converter. The converter topology is a diode rectifier (ac-dc) cascaded with a single-switch step-down converter (dc-dc). The dc-dc stage allows the current to flow at all times in the dc link while simultaneously regulating generator torque. The inverter station, located onshore, is a thyristor-based converter that performs dc link current regulation. It also regulates the HVDC link voltage through supervisory inverter controls. A complete wind farm is simulated using the PSCAD/EMTDC software package. The 150-MW wind farm is modelled using six units of 25 MW with a rated dc link voltage of 125 kV at 1.2 kA. The simulation demonstrates the stable operation of the proposed configuration where each turbine is able to independently perform peak power tracking.

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 score0.743
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.193
Teacher spread0.186 · 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