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Record W1499590111 · doi:10.1109/compel.2015.7236485

A CL-LC filter for high-power PWM current-source drive systems

2015· article· en· W1499590111 on OpenAlexaff
Ye Zhang, Yunwei Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHarmonicsPower factorPulse-width modulationPWM rectifierLC circuitAC powerFilter (signal processing)CapacitorVoltage sourceElectronic engineeringCurrent sourceRectifier (neural networks)Computer scienceBand-stop filterControl theory (sociology)EngineeringElectrical engineeringLow-pass filterVoltage

Abstract

fetched live from OpenAlex

Due to the effective attenuation on switching-frequency harmonics with a smaller size of passive components, the high-order filters using LC trap branch are recently emerging into grid-tied voltage-source inverter (VSI) systems. Based on the idea of LC trap branch, a new-type CL-LC line-side filter is proposed for high-power PWM current-source drive systems in this paper. Compared with the conventional line-side CL filter in the PWM current-source drives, the adoption of the proposed CL-LC filter not only saves the total size of line-side capacitor so that minimizes the reactive power flow through the line impedance, but also further attenuates the low-order dominant harmonics produced by high-power PWM current-source rectifier (CSR). As a result, the input power factor of the drive system is effectively improved. Simulation and experimental results are provided to verify the effectiveness of the proposed filter.

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 categoriesnone
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 score0.986
Threshold uncertainty score0.372

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 head0.011
GPT teacher head0.203
Teacher spread0.191 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2015
Admission routes1
Has abstractyes

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