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Record W4285287971 · doi:10.1049/icp.2022.0949

Application of simulation feature and subscription monitoring in IEC 61850 ED.2 for testing protection devices

2022· article· en· W4285287971 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIET conference proceedings. · 2022
Typearticle
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsRTDS Technologies (Canada)
Fundersnot available
KeywordsIEC 61850Computer scienceAutomationInteroperabilitySassReal Time Digital SimulatorEmbedded systemReliability engineeringElectric power systemOperating systemEngineeringPower (physics)World Wide Web

Abstract

fetched live from OpenAlex

IEC 61850 standard series offers, among other things, convenient and flexible methods of carrying out testing in SASs. Logically isolating IEDs using the simulation feature and monitoring the status of subscriptions for GOOSE and SV communication via dedicated LN classes are two of the most useful features introduced in Edition 2 of IEC 61850 standard. With IEC 61850 fast becoming the industry norm for power system automation in many parts of the world, it is important that personnel responsible for operating power grids are familiar with it. This paper discusses the implementation and the application of advanced IEC 61850 Edition 2 features related to testing in a digital real-time simulator.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.368

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 head0.034
GPT teacher head0.244
Teacher spread0.210 · 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