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New MMC-Based Multilevel Converter with Two-And-One Set of Arms and One Inductor

2020· article· en· W3015824886 on OpenAlex
Mahdi Jafari, Fatemehalsadat Jafarishiadeh, Arman Ghasemi, Amin Shojaeighadikolaei, Sepehr Saadatmand, Reza Ahmadi

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 Calgary
Fundersnot available
KeywordsInductorSet (abstract data type)Computer scienceElectrical engineeringEngineeringVoltage

Abstract

fetched live from OpenAlex

This paper proposes a new medium-voltage high-power converter topology to produce multilevel output voltages. The proposed converter is based on conventional modular multilevel converter (MMC). The recommended topology improves the conventional MMC by introducing a middle arm to the standard MMC topology which comprises of only the upper arm and the lower arm. The proposed MMC topology can generate the same number of output voltage levels as conventional MMC with a less submodule (SM) count, requires half the dc-link voltage, and uses only one dc-source and one buffer inductor. This paper first illustrates the new topology and explains its operation modes, then it provides simulation results to verify the theoretical outcomes. A prototype has been built to investigate the performance of proposed MMC.

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 score0.709
Threshold uncertainty score0.271

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 head0.035
GPT teacher head0.210
Teacher spread0.176 · 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
Published2020
Admission routes1
Has abstractyes

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