MétaCan
Menu
Back to cohort
Record W3083750875 · doi:10.1109/tpel.2020.3021392

Multilevel CSC System Based on Series–Parallel Connected Three-Phase Modules With Optimized Carrier-Shift SPWM

2020· article· en· W3083750875 on OpenAlexafffund
Li Ding, Yunwei Li

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2020
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanada First Research Excellence Fund
KeywordsSeries and parallel circuitsModular designVoltageElectronic engineeringReliability (semiconductor)Computer scienceSeries (stratigraphy)Power (physics)Pulse-width modulationModulation (music)EngineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Current source converter (CSC) is widely used in high power applications. To increase the system power rating, both series and parallel connections can be adopted and implemented easily. In this article, a mixed series-parallel CSC structure is proposed for high power application. An optimized carrier-shift sinusoidal pulsewidth modulation (SPWM) is adopted for the mixed system to simultaneously improve the dc-link voltage quality and achieve multilevel ac output, which can potentially reduce the size of dc- and ac-side filters. Meanwhile, the system reliability can be significantly improved due to the modular design with carrier-shift SPWM and inherent short-circuit protection of CSC. With these advantages, the proposed mixed series-parallel CSC structure can be an attractive candidate for medium-voltage drives, high-voltage direct current, and offshore wind power applications. Simulation and experimental results verify the effectiveness of the novel mixed series-parallel CSC system with optimized carrier-shift SPWM.

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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 teacher head, not a consensus.

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

Citations16
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Transactions on Power ElectronicsSame topicMultilevel Inverters and ConvertersFrench-language works237,207