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Record W2979626685 · doi:10.1109/sege.2019.8859784

Comparative Study of Grid-Connected Multilevel Inverters for High Power Phtovoltaic Systems

2019· article· en· W2979626685 on OpenAlexaff
Xueyang Jiang, Mamadou Lamine Doumbia

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsTotal harmonic distortionPhotovoltaic systemPulse-width modulationInverterMaximum power point trackingElectronic engineeringH bridgeCapacitorTopology (electrical circuits)Network topologyComputer scienceMATLABVoltageGridHarmonicEngineeringElectrical engineeringPhysicsMathematics

Abstract

fetched live from OpenAlex

Photovoltaic (PV) energy conversion becomes main focus of many researches due to its promising potential as energy source for clean electricity production. One of the important aspects that should be considered in PV application is the use of grid connected multilevel inverter. The Neutral Point Clamped Multilevel Inverter (NPC-MLI), the Flying Capacitor Multilevel Inverter (FC-MLI), and the Cascaded H-Bridge Multilevel Inverter (CHB-MLI) are the three widely used configurations of multilevel inverters. This paper presents the simulation and comparative analysis of the three topologies of three phase 3-level inverter. The multi-carrier sinusoidal pulse width modulation (SPWM) technology is used to realize the closed-loop control model of the photovoltaic grid-connected system. The output waveforms of multilevel inverters are presented and their comparison is based on the total harmonic distortion (THD) present in the output voltage. All topologies are simulated using MATLAB/Simulink in the same operating conditions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.022
GPT teacher head0.235
Teacher spread0.212 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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