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Record W2803533651 · doi:10.1016/j.epsr.2018.04.013

Efficiently computing the electrical parameters of cables with arbitrary cross-sections using the method-of-moments

2018· article· en· W2803533651 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueElectric Power Systems Research · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsUniversity of ManitobaManitoba Hydro
Fundersnot available
KeywordsAdmittance parametersEmtpDiscretizationMethod of moments (probability theory)Coaxial cableComputationImpedance parametersTransient (computer programming)Electrical impedanceElectric power systemMathematical analysisComputer scienceMathematicsEngineeringAlgorithmPower (physics)GeometryVoltagePhysicsElectrical engineering

Abstract

fetched live from OpenAlex

In a recent work, a proximity- and skin-effect aware formulation known as the surface-volume-surface electric field integral equation discretized with 2-D method-of-moments (MoM) was optimized to efficiently extract the frequency dependent series impedance matrix of cables with arbitrary shapes. However, it was only applied to sector-shaped and coaxial cables due to the constraints on computing the shunt admittance matrix using closed-form approximations. This work presents formulation, discretization, and optimization techniques, for fast computation of the shunt admittance matrix of arbitrary-shaped cables by discretizing the problem of the quasi-electrostatics using 2-D MoM. With the proposed MoM techniques and optimization strategies, it is possible to accurately compute all the electrical parameters of arbitrary-shaped cables required in electromagnetic transient programs (EMTP) using today's typical computer power and with reasonable computational times. This provides an efficient modeling tool for any desired cable design. Frequency domain solutions of the proposed technique are compared against the finite-element method as well as the classical approximate formulas available for pertinent cable models. The resulting time domain transient simulations in EMTP are also investigated.

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.

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)0.003
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 score0.658
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.392
Teacher spread0.346 · 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