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Record W2897037758 · doi:10.1109/tpwrd.2018.2874331

Very Fast Transients in a 500 kV Gas-Insulated Substation

2018· article· en· W2897037758 on OpenAlexaff
Haoyan Xue, Akihiro Ametani, Jean Mahseredjian

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsVoltageTransformerCapacitanceElectrical engineeringElectrical impedanceEngineeringMaterials scienceAcousticsPhysicsElectrode

Abstract

fetched live from OpenAlex

This paper performs thorough investigations of very fast transients (VFTs) in a 500 kV gas-insulated substation (GIS) by adopting complete earth-return impedance and admittance formulas. VFT simulations are performed with wideband models in a simulation tool for electromagnetic transients. The effects of various GIS parameters on VFTs are investigated. The maximum core and pipe voltages along the GIS are presented. The frequency spectra of VFT voltages are evaluated, and the effects of GIS length and transformer capacitances on the VFT frequencies are analyzed. The frequency decreases as the GIS total length increases. The frequency is decreased significantly by stray capacitances of transformers because those are far greater than the GIB capacitance. The effect of pipe grounding on the pipe voltage is a very noticeable, but on the core voltage and the oscillating frequency is minor. The position of an operating DS influences the VFT over-voltages and frequency significantly. Approximate analytical formulas are derived for physical and qualitative interpretation of simulation results.

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 categoriesInsufficient payload (model declined to judge)
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 score0.462
Threshold uncertainty score1.000

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 head0.006
GPT teacher head0.212
Teacher spread0.205 · 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.

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

Citations27
Published2018
Admission routes1
Has abstractyes

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