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Record W2900740813 · doi:10.1049/iet-pel.2018.5283

Direct power control with common mode voltage reduction of grid‐connected three‐level NPC inverter

2018· article· en· W2900740813 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

VenueIET Power Electronics · 2018
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsInverterReduction (mathematics)Common-mode signalComputer scienceGridVoltageTable (database)Power (physics)AC powerControl theory (sociology)Power controlPoint (geometry)Mode (computer interface)AlgorithmControl (management)MathematicsEngineeringElectrical engineeringTelecommunicationsArtificial intelligencePhysicsData mining

Abstract

fetched live from OpenAlex

This paper proposes three new direct power control (DPC) algorithms which minimise the variation of the common mode voltage (CMV) provided by a transformerless grid‐connected three‐level neutral point clamped (3L‐NPC) inverter. The proposed techniques make use of three reduced switching tables designed with the aim to control the active and reactive powers and to minimise the variation of the CMV. The first switching table uses large, medium and zero vectors of the space vector diagram; it is therefore named large medium zero vectors DPC. The second table uses the medium and zero vectors. It is referred to as medium zero vectors DPC. The third one namely medium vectors DPC, uses only medium vectors. Numerical simulations and experimental tests carried out on a laboratory prototype of the 3L‐NPC inverter confirm the feasibility and effectiveness of the proposed algorithms.

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 categoriesMeta-epidemiology (narrow)
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 score0.802
Threshold uncertainty score1.000

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 head0.008
GPT teacher head0.209
Teacher spread0.200 · 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