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Record W2136777469 · doi:10.1109/ccece.1993.332317

Indirect current control scheme for a single-phase voltage-source utility interface inverter

2002· article· en· W2136777469 on OpenAlexaff
Naser Abdel‐Rahim, John E. Quaicoe

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsControl theory (sociology)CapacitorComputer scienceRoot locusWaveformPower factorVoltage sourceVoltageFilter (signal processing)InverterThree-phaseElectronic engineeringControl systemEngineeringElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper presents an indirect current control scheme for utility interface applications. The scheme, which employs a single-phase half-bridge voltage-source inverter and a third order T-filter, is based on sensing the capacitor current of the load filter in an inner feedback control loop and the capacitor voltage in an outer voltage control loop to ensure that both the load voltage and current follow reference sinusoidal waveforms. The stability of the proposed scheme is investigated using the state-space averaging technique and the root locus method. The results of the stability analysis are used to select appropriate feedback control variables that produce stable feedback operation. Computer simulation results of the proposed utility interface system for operation of the power circuit from 'cold' start to full load is presented. It is shown that the proposed control scheme offers improved performance for utility interface applications. It is simple to implement, and is capable of producing nearly perfect sinusoidal line current and voltage waveforms at any desired power factor with moderate switching frequency and reasonable size of filter parameters.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.773

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)0.0010.000

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 head0.025
GPT teacher head0.234
Teacher spread0.209 · 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 designOther design
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

Citations7
Published2002
Admission routes1
Has abstractyes

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