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Analysis of a Direct Lightning Impact on a Substation and its Protection Equipment

2023· article· en· W4389777327 on OpenAlexaff
F. Dawalibi, Yexu Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsSafe Engineering Services & Technologies (Canada)
Fundersnot available
KeywordsGroundLightning (connector)Shielded cableElectromagnetic shieldingTransient (computer programming)Electrical engineeringLightning strikeDirect-buried cableTowerEngineeringElectrical conductorVoltageElectric power transmissionOvervoltagePower (physics)Computer scienceStructural engineeringCable harnessPhysics

Abstract

fetched live from OpenAlex

This paper examines electromagnetic field effects inside a substation when lightning hits a transmission tower located just outside a substation. An integral formulation of Maxwell's equations is used to model the whole structure including power line, towers, grounding network, control cables, shielding system and lightning channel. Computations are carried out using the Method of Moments (MoM) for surface-wire integral equation in a stratified medium. This paper focuses exclusively on transient voltage and current stresses that appear mainly because of significant ground potential difference (GPD) between conductors and cables and surrounding grounded structures. The currents flow along cable wires and shields and voltages appear across a wire of an unshielded or shielded cable and a nearby metallic grounded panel or cable shield. Such currents and voltages are a critical reference or indicator of the vulnerability of control cables to transient surges. The voltage and current stresses along a subset of the substation control cables that may result in possible damages because of a nearby lightning strike are computed accurately based on a realistic complete model of the substation and the surrounding electric network. Various scenarios are considered based on the same cable topology and the effectiveness of each scenario in reducing current and voltage stresses are discussed. This exact computation analysis can help develop more appropriate standards and mitigation measures to prevent most severe, lightning strikes in a well-designed substation, resulting in significant economical savings in outages avoidance and equipment damages.

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 score0.005

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 integrity0.0000.000
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 head0.015
GPT teacher head0.267
Teacher spread0.251 · 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
Published2023
Admission routes1
Has abstractyes

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