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Record W2068729440 · doi:10.1109/ccece.2009.5090219

A software simulator for Geomagnetically Induced Currents in electrical power systems

2009· article· en· W2068729440 on OpenAlexafffund
Jon Berge, Rajiv K. Varma

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGeomagnetically induced currentEmtpPower system simulator for engineeringElectric power systemSimulationPower transmissionEngineeringSoftwareSimulation softwareAdmittance parametersPower system simulationComputer sciencePower (physics)Electrical engineeringVoltageGeomagnetic stormEarth's magnetic fieldPhysics

Abstract

fetched live from OpenAlex

This paper describes the development and testing of a software simulator to calculate the flow of geomagnetically induced currents (GIC) in an electrical power transmission grid. In this paper, a new technique for mapping the location of transmission equipment for the purposes of GIC simulation is proposed. The DC modeling of autotransformers for the purpose GIC studies is discussed. The simulator models the electrical power system as an admittance matrix. GIC results for two study systems as obtained from the developed simulator are compared with those obtained from the electromagnetic transients program (EMTP). Finally, the simulator is applied to the entire Hydro One 500/230 kV transmission system to predict GICs. This simulation will help Hydro One plan its mitigation strategies to protect against geomagnetic storms.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.954
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.267
Teacher spread0.248 · 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 designOther design
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

Citations9
Published2009
Admission routes2
Has abstractyes

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