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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 OpenAlexaff
N. Monsur, Vijay K. Sood, Luiz A. C. Lopes

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.

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 score0.015

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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

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

Citations6
Published2006
Admission routes1
Has abstractyes

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