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Record W2965626534 · doi:10.1109/compel.2019.8769709

A DC-DC Converter-Based Single-Source Transformer-less Multilevel Inverter

2019· article· en· W2965626534 on OpenAlexaff
Hossein Khoun Jahan, Amin Mohammadpour Shotorbani, Alireza E. Khosroshahi, Liwei Wang, Frede Blaabjerg, Mehdi Abapour, Kazem Zare

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsPhotovoltaic systemVoltage sourceInverterConvertersTransformerElectronic engineeringMaximum power point trackingVoltageComputer scienceElectrical engineeringGrid-tie inverterĆuk converterZ-source inverterTopology (electrical circuits)EngineeringBoost converter

Abstract

fetched live from OpenAlex

Voltage Source Inverters (VSIs) are one of the most important power electronic converters in power industry. Generally, an inverter realizes a desired AC voltage with an arbitrary amplitude and frequency using a DC voltage source. The DC source can be a set of battery, an array of photovoltaic cells, fuel cells, and so on. In some applications such as photovoltaic systems, the voltage magnitude of the DC source needs to be boosted. In certain applications, e.g. the machine drives, a controller with a high bandwidth is required. In this regard, the slow output filters can be eliminated using a multilevel inverter. In this study, a comprehensive converter topology of a single-source boosting multilevel inverter is proposed to meet the above-mentioned requirements. Due to the above-mentioned features, the proposed inverter is referred to boosting multilevel voltage source inverter (BM-VSI). The suggested BM-VSI realizes a seven-level phase-to-phase staircase ac voltage using two DC-DC Cuk converters and only one DC source. The developed output voltage in the proposed BM-VSI is three times of the conventional voltage source inverter. The performance of the proposed topology is evaluated using a laboratory-scaled prototype.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
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)0.0030.002

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 head0.021
GPT teacher head0.196
Teacher spread0.175 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2019
Admission routes1
Has abstractyes

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