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Record W2990733601 · doi:10.1109/ecce.2019.8913215

Mixed Series-Parallel Connected Current Source Converters with Interleaved SPWM

2019· article· en· W2990733601 on OpenAlex
Li Ding, Yunwei Li

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
KeywordsSeries and parallel circuitsInductanceConvertersComputer scienceElectronic engineeringPulse-width modulationHigh-voltage direct currentVoltageReliability (semiconductor)Series (stratigraphy)Power (physics)Topology (electrical circuits)Electrical engineeringEngineeringDirect currentPhysics

Abstract

fetched live from OpenAlex

Current source converter (CSC) is widely used in high power application. To increase the system power rating, both series or parallel connection can be adopted and implemented easily. In this paper, a mixed series-parallel CSC structure was proposed for high power application. An interleaved sinusoidal pulse-width modulation (SPWM) was 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-link differential inductance and AC output filter. Meanwhile, the system reliability can be significantly improved due to modularity of SPWM and inherent short-circuit protection of CSC. With these advantages, the proposed mixed series-parallel CSC structure can be an attractive candidate for high-voltage direct current (HVDC) and wind power applications. Simulation and experiment results verified the effectiveness of the novel mixed series-parallel CSC system with interleaved 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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.709

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)0.0000.001

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 head0.177
Teacher spread0.169 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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