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ANALYSIS OF LIGHTNING EFFECTS ON POWER PLANT CONNECTION

2018· article· en· W2908852208 on OpenAlexvenueno aff
Daniele Mestriner, Marco Invernizzi

Bibliographic record

VenueInternational Journal of Power and Energy Systems · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsLightning (connector)Connection (principal bundle)Power stationElectrical engineeringEnvironmental scienceTelecommunicationsPower (physics)Computer scienceEngineeringPhysicsStructural engineering

Abstract

fetched live from OpenAlex

The electromagnetic transients caused by lightning events are one of the most known causes of faults in the transmission lines. Many papers focused their attention on the evaluation of the effects caused by lightning events on a transmission line, but an overall analysis that takes into account, a real power system is rare to be found. In this paper, the analysis of electromagnetic transients in a connection between a power plant and large power grid is presented with a high detail of the high frequency model for each power system element. In particular, overhead lines, cables, transformers and surge arresters are modelled taking into account all the electromagnetic aspects. The simulations are performed using the well-known code PSCAD-EMTDC, taking into account, different scenarios for the lightning events, and the results show the behaviour of cables and transformers when are subjected to the aforementioned electromagnetic transients with a high level of detail.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.217
Teacher spread0.213 · 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 designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

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