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Record W2160308455 · doi:10.1109/isie.2011.5984404

Per-phase vector (dq) controlled three-phase grid-forming inverter for stand-alone systems

2011· article· en· W2160308455 on OpenAlex

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
TopicMicrogrid Control and Optimization
Canadian institutionsConcordia University
Fundersnot available
KeywordsThree-phaseDiesel generatorInverterControl theory (sociology)Electrical impedancePower (physics)Generator (circuit theory)GridComputer scienceDynamic demandEngineeringElectrical engineeringAutomotive engineeringDiesel fuelVoltageControl (management)MathematicsPhysics

Abstract

fetched live from OpenAlex

Hybrid mini-grids usually employ diesel generator sets (gensets) as grid forming units in three-phase four-wire systems. The impact of unbalances in power demand (load) and renewable power injection on the power quality is relatively small due to the also small output impedance of the rotating generators. However, when a battery inverter is required to form the grid, the power quality can deteriorate significantly in the presence of unbalanced power injection/demand in the system, due to the larger impedance of the low-pass output filter. The conventional approach of using three-phase dq control and symmetrical components decomposition (SCD) usually results in slow dynamic response. This paper proposes a per-phase dq technique that does away with the need for SCD and presents superior dynamic performance as demonstrated by simulation.

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: none
Teacher disagreement score0.966
Threshold uncertainty score0.792

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 head0.025
GPT teacher head0.235
Teacher spread0.210 · 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

Citations21
Published2011
Admission routes1
Has abstractyes

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