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Record W2004300010 · doi:10.1109/ccece.2006.277441

Modeling a Hybrid Diode-Thyristor HVDC Rectifier in EMTP-RV

2006· article· en· W2004300010 on OpenAlex
N. Monsur, Vijay K. Sood, Luiz A. C. Lopes

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsConcordia University
Fundersnot available
KeywordsThyristorEmtpIntegrated gate-commutated thyristorAutotransformerEngineeringTransformerElectrical engineeringRectifier (neural networks)Electronic engineeringComputer scienceVoltageElectric power systemPower (physics)PhysicsDistribution transformer

Abstract

fetched live from OpenAlex

This paper presents the investigation into the viability of a hybrid diode-thyristor high voltage direct current (HVDC) rectifier. The large-scale usage of HVDC transmission is limited by several factors and one of the most important factors is the high cost of conversion equipment. In a traditional HVDC system, a 12-pulse thyristor converter is used. In the proposed hybrid circuit, the lower 6-pulse thyristor bridge (which is connected with a Y-Y transformer), is replaced by a cheaper diode bridge. This reduces the overall capital cost of the 12-pulse rectifier, but has implications regarding the operational behavior of the HVDC terminal and system. The operational behavior of this hybrid diode-thyristor converter under static and dynamic conditions is verified with the simulation package EMTP RV

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.502

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 head0.006
GPT teacher head0.178
Teacher spread0.172 · 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

Quick stats

Citations6
Published2006
Admission routes1
Has abstractyes

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