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An Equivalent Model of the Paralleled Modular ANPC Converter with a Decoupled DC Link for Real-Time Simulation

2021· article· en· W3213253495 on OpenAlexaff
Kevin-Rafael Sorto-Ventura, Wei Li, Kamal Al‐Haddad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsOpal-Rt Technologies (Canada)École de Technologie Supérieure
Fundersnot available
KeywordsModular designComputer scienceVoltagePower (physics)Modeling and simulationControl theory (sociology)SimulationElectronic engineeringEngineeringElectrical engineeringControl (management)Physics

Abstract

fetched live from OpenAlex

In this paper, a switching function based-equivalent model of the paralleled modular active-neutral-point (PM-ANPC) multilevel converter with decoupled DC link is proposed. The development of this equivalent model is motivated by desire to perform hardware-in-the-loop (HIL) tests of a battery charger based on the PM-ANPC and by the stringent computational requirements of real-time simulation. Consequently, the power semiconductors are replaced with voltage sources controlled by switching functions, and this simplified model aims to emulate a reference model based on switching devices. Moreover, the proposed model minimizes errors caused by measurement delays and improves the overall simulation performance. These results are confirmed in Simulink where comparative tests are performed between the equivalent model and the reference model for both offline and real-time simulation. The simulation results demonstrate that the proposed model is capable to accurately emulate the reference model while offering improved simulation performance.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.015
GPT teacher head0.240
Teacher spread0.225 · 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
GenreMethods

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
Published2021
Admission routes1
Has abstractyes

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