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Record W2608218643 · doi:10.24084/repqj14.211

A Comparative Study between a Conventional Two-Level and a Flying Capacitor Four-level VSI for Use in Four-Wire Shunt APF Applications

2016· article· en· W2608218643 on OpenAlexfundno aff
Antoine F. Hanna Nohra, Maurice Fadel, Hadi Y. Kanaan

Bibliographic record

VenueRenewable Energy and Power Quality Journal · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsnot available
FundersConseil National de la Recherche ScientifiqueCentre National de la Recherche ScientifiqueAgence Universitaire de la Francophonie
KeywordsShunt (medical)CapacitorElectrical engineeringComputer scienceEngineeringVoltageMedicineCardiology

Abstract

fetched live from OpenAlex

Shunt Active Power Filters (SAPF) are proposed for Power Quality (PQ) improvement in perturbed power distribution networks. Conventionally, the 2-level Voltage Source Inverter (VSI) topology is used in three-phase four wire power distribution networks to mitigate current harmonics and to enhance Power Factor (PF). The Multilevel Inverter (MI) such as the Flying-Capacitor (FLC) topology is competitive with the conventionally inverters for the same targets on low voltage domain, in addition to its performance in medium voltage. In this work a comparative study of two SAPF topologies is proposed. We compare the performance for the two structures for the same modulation, same current and voltage regulation method, same control strategy using modified formulation of the p-q strategy. Firstly, it is demonstrated that the neutral current can be reduced in the conventionally 2-level structure by using a Phase Shift PWM (PSPWM) modulation instead of Sinusoidal PWM (SPWM) modulation. Secondly, peaks of source currents are reduced in the transient state by action on the Pass Band of the DC voltage regulator. Thirdly, comparison between the sizes of the inductance of the filters is made, voltage stresses on the electronic components are compared and harmonic generated by the output voltages of VSI are compared. It is demonstrated the superiority of the FLC over the two-level topology.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.110
GPT teacher head0.323
Teacher spread0.213 · 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 designObservational
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

Citations1
Published2016
Admission routes1
Has abstractyes

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