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Record W2953581130 · doi:10.1109/icit.2019.8755095

A Series-Connected Hybrid Modular Multilevel Converter for HVDC Tapping Application

2019· article· en· W2953581130 on OpenAlex
Can Wang, Yunming Yang, B.T. Ooi

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 institutionsMcGill University
FundersShandong University
KeywordsModular designSeries (stratigraphy)HarmonicElectronic engineeringComputer scienceHarmonic analysisThree-phaseModulation (music)Power (physics)Total harmonic distortionSeries and parallel circuitsTappingControl theory (sociology)Electrical engineeringEngineeringTopology (electrical circuits)VoltagePhysicsAcoustics

Abstract

fetched live from OpenAlex

This paper introduces a three-phase series-connected asymmetric hybrid modular multilevel converter (SCAH-MMC) tap which not only retains the technical advantages of the three-phase series-connected MMC, but also has the capability to cope with dc faults. Basic operation principle of SCAH-MMC is presented. It shows that SCAH-MMC is troubled by the inherent third harmonic of single-phase ac power. By adding feed-forward to the modulation signal, third-harmonic currents of SCAH-MMC can be significantly reduced. The mathematical formulas and claims are validated by simulations using PSCAD/EMTDC.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.421

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 head0.005
GPT teacher head0.187
Teacher spread0.182 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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