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Record W1908125625 · doi:10.1109/ecce.2015.7309935

Geometric analysis of grid-connected VSI with LCL-filter using Poincaré map

2015· article· en· W1908125625 on OpenAlexaff
Suzan Eren, Alireza Bakhshai, Praveen Jain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsQueen's University
Fundersnot available
KeywordsControl theory (sociology)Filter (signal processing)HarmonicsGridComputer scienceVoltageEngineeringMathematicsControl (management)Electrical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Harvesting renewable energy sources is the key to solving the global energy crisis. The grid-connected voltage source inverter (VSI) is an essential part of the two-stage power conditioning system used to extract power from renewable energy systems and deliver it to the utility grid. Conventionally, an L-filter has been used to filter switching harmonics produced by the VSI. The LCL-filter, however, can provide effective filtering while using smaller components. When using the LCL-filter, it is necessary to provide active damping in the closed-loop system in order to damp the natural resonance of this third-order system. In this digest, the system is analyzed from a geometric viewpoint to see how the LCL-filter affects its stability. This geometric analysis entails finding the system flow and extracting the Poincaré map in order to analyze the stability and behavioral characteristics of the grid-connected VSI with an LCL-filter. This analysis can supply insights into the system operation and controller design, which can prove useful for designing the closed-loop control system of the grid-connected VSI.

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: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
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 head0.024
GPT teacher head0.212
Teacher spread0.189 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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