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Controller-Hardware-in-the-Loop Testing of A Single-Phase Single-Stage Transformerless Grid-Connected Photovoltaic Inverter

2022· article· en· W4224004471 on OpenAlexaff
Fazel Mohammadi, Rasoul Bok, M. Hajian, Afshin Rezaei‐Zare

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsYork University
Fundersnot available
KeywordsPhotovoltaic systemMaximum power point trackingController (irrigation)InverterComputer scienceHardware-in-the-loop simulationControl theory (sociology)Maximum power principleGridPower (physics)VoltageElectronic engineeringEngineeringControl (management)Embedded systemElectrical engineering

Abstract

fetched live from OpenAlex

In this paper, the validation and performance testing of a control scheme for a single-phase single-stage transformerless grid-connected Photovoltaic (PV) inverter are presented using the Control-Hardware-in-the-Loop (C-HIL) implementation. The control scheme uses the DC-link voltage controller and grid current controller, and it is executed in a LAUNCHXL-F28379D development kit, providing a cost-effective solution compared to commercially available tools. In order to extract the maximum available power from the PV system under different conditions, two Maximum Power Point Tracking (MPPT) algorithms, including the Perturb and Observe (P&O) algorithm and incre-mental conductance method, are investigated and compared. The simulation and experimental results are provided to verify the performance of the studied control scheme.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.049
GPT teacher head0.267
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2022
Admission routes1
Has abstractyes

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