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Record W4388740278 · doi:10.1109/tpel.2023.3333315

A PWM Current-Source Converter-Based Wind Energy Conversion System

2023· article· en· W4388740278 on OpenAlexaff
Ling Xing, Qiang Wei, Yunwei Li

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2023
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsLakehead UniversityUniversity of Alberta
Fundersnot available
KeywordsCommutationConvertersHarmonicsTransformerStatorPulse-width modulationWind powerVoltage sourceEngineeringElectronic engineeringModular designCurrent sourceControl theory (sociology)Computer scienceElectrical engineeringVoltage

Abstract

fetched live from OpenAlex

Current-source converters (CSCs) are a good candidate for the series-connected wind energy conversion system (WECS). However, the existing CSCs either exhibit poor generator stator current harmonics, require bulky low-frequency transformers, are limited in their application to synchronous generator-based wind systems, or necessitate complicated modulation and commutation. In this work, a new CSC is proposed and investigated. It features a unique hybrid structure consisting of a modular medium-frequency transformer-based voltage-source converter on the generator side and a conventional CSC on the grid side. The proposed converter offers superior generator stator current harmonics performance, a smaller size, simplified modulation and commutation schemes, and suitability for both synchronous and induction generator-based wind systems compared with the existing converters. In addition, all the advantages of the existing CSC-based WECS are retained. The proposed converter is discussed and analyzed, its control scheme is introduced, and its performance is investigated by both simulations and experiments.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
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
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.204
Teacher spread0.195 · 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

Citations10
Published2023
Admission routes1
Has abstractyes

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