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Record W4401880016 · doi:10.1109/tpwrd.2024.3449868

Advanced Wideband Line/Cable Modeling for Transient Studies

2024· article· en· W4401880016 on OpenAlexaff
Abner Ramirez, Jesús Morales, Jean Mahseredjian, Ilhan Koçar

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsWidebandTransient (computer programming)Transient analysisLine (geometry)EngineeringElectronic engineeringElectrical engineeringComputer scienceTransient responseMathematics

Abstract

fetched live from OpenAlex

The grouping of propagation modes in line/cable systems involving a large number of conductors has been central in recent research regarding the stability of simulations for electromagnetic transient (EMT) studies. This article presents three improvements to the existing wideband line/cable modeling techniques for EMT analysis. The first improvement consists of calculating optimum time delays such that the oscillations in the phase angle of the propagation function are reduced. The second is a novel strategy for grouping propagation modes. As a third improvement, the maximum fitting frequency of a rapidly decaying mode is limited when its magnitude is below a threshold value. It is demonstrated that these modifications improve the stability characteristics of time-domain simulation, compared to the existing implementation of line/cable models in an EMT-type software. The proposed modifications are applied to several cable systems, including a very challenging real system involving 96 cables and one double-circuit overhead line, all with a length of 250 m.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.697

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)0.0000.000

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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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