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Record W2966015493 · doi:10.1109/compel.2019.8769706

Generalized DC-DC-AC MMC Structure for MVDC and HVDC Applications

2019· article· en· W2966015493 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsElectrical engineeringComputer scienceElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

A generalized modular multilevel converter (MMC) chain-link structure is presented that allows independent power transfer between two dc systems and one ac system. This chain-link structure is shown to give rise to two new dc-dc-ac MMC topologies suitable for MVDC and HVDC applications. Simultaneous dc-dc and dc-ac conversion is achieved by exploiting a center-tap transformer connection where the windings can carry both dc and ac currents, without leading to increased transformer rating or size when compared to a conventional two-winding ac transformer for a standard dc-ac MMC. A unified control scheme is proposed to independently control dc and ac terminals power transfers while maintaining balanced capacitor voltages for both topologies. Converter operation and the proposed dynamic controls are validated by real-time simulations obtained from RTDS system using FPGA-based low-level valve firing control.

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: Empirical
Teacher disagreement score0.841
Threshold uncertainty score0.289

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 head0.214
Teacher spread0.208 · 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

Citations18
Published2019
Admission routes1
Has abstractyes

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