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Record W4293194109 · doi:10.1109/tpwrd.2022.3151749

An Investigation of Electromagnetic Transients for a Mixed Transmission System With Overhead Lines and Buried Cables

2022· article· en· W4293194109 on OpenAlexaff
Haoyan Xue, Jean Mahseredjian, Jesús Morales, Ilhan Koçar, Alain Xémard

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsTransient (computer programming)Electrical impedanceElectric power transmissionOverhead (engineering)Transmission lineCharacteristic impedanceEngineeringSubmarineElectronic engineeringGroundAcousticsTransmission (telecommunications)Overhead lineElectrical engineeringMarine engineeringComputer sciencePhysics

Abstract

fetched live from OpenAlex

An electromagnetic transient study has been performed based on a practical 500 kV mixed transmission system. The system has overhead lines, submarine cables and underground cables. An exact expression of earth-return impedance for submarine cable has been developed. A new equivalent homogeneous earth method (EHEM) is also proposed based on the exact formula. The influences of air, seawater, seabed, wired armor structure and multi-layer seabed on series impedance and modal propagation constants of submarine cable are investigated. A novel modeling procedure on parametrical side of mixed transmission system is proposed in this paper. Moreover, the input sequence impedances of mixed transmission system are studied based on traditional Line / Cable Constant routines and the new method. Transient simulations are also performed using classical and new methods. The results are further validated with recently proposed MoM-SO technique.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.630

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 head0.006
GPT teacher head0.197
Teacher spread0.191 · 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

Citations13
Published2022
Admission routes1
Has abstractyes

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