MétaCan
Menu
Back to cohort
Record W2906971601 · doi:10.1109/iecon.2018.8591427

A Hybrid Series Active Filter Using Single-Phase Low Rating Packed U-Cell Converter

2018· article· en· W2906971601 on OpenAlexafffund
Alireza Javadi, Xiaofan Fu, Abdelhamid Hamadi, Kamal Al‐Haddad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversité du Québec à Montréal
FundersÉcole de technologie supérieure
KeywordsCapacitorActive filterGridElectronic engineeringHarmonicThree-phaseElectronic filterVoltageComputer scienceAC powerHarmonicsPower qualityEngineeringControl theory (sociology)Electrical engineeringControl (management)

Abstract

fetched live from OpenAlex

In this research paper, the authors propose single-phase Transformerless Hybrid Series Active Filter called a THSeAF based on a seven-level Packed U-Cell converter (PUC) to address power quality issues related to distribution systems. The PUC converter has both advantages of flying wheel capacitor and the cascaded H-bridge topologies. This solutions is promoting Active power filtering application for higher voltage level with smaller passive component ratings seems a durable solution to overcome current related issues as well as integration of renewable sources for sustainable supply. The main significant features of the proposed configuration is the great competency for correcting the sags and swells as well as the power factor and cleaning the grid, while protecting consumers from voltage disturbances, during a grid perturbation. This paper is trying to investigate aspects of harmonic compensation and assesses the influence of the PR controller's choice and time delay for a realtime implementation. A combination of simulations and analysis are made on a typical study case to illustrate the efficiency of the proposed configuration.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.849

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)0.0010.000

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 head0.010
GPT teacher head0.206
Teacher spread0.196 · 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 designBench or experimental
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

Citations2
Published2018
Admission routes2
Has abstractyes

Explore more

Same topicMicrogrid Control and OptimizationFrench-language works237,207