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Record W194378916

Modeling and simulation of computational techniques used in numerical protective relays

2007· article· en· W194378916 on OpenAlexaff
T.S. Sidhu, M. Dadash Zadeh, M. Vijayasarathi

Bibliographic record

Venueinternational conference on Modelling and simulation · 2007
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsWestern University
Fundersnot available
KeywordsComputer scienceComputational complexity theoryElectric power systemProtective relayPower-system protectionComputational modelPoint (geometry)Computational simulationPower (physics)Reliability engineeringControl engineeringComputational scienceAlgorithmEngineeringMathematics
DOInot available

Abstract

fetched live from OpenAlex

Protective relays are designed to respond for faults on specific power system apparatus. Computer based power system protection using numerical relays have been used for protecting present day power systems. Several computational functions are used in numerical relays. In this paper, various characteristics and requirements of these computational functions are discussed from the relaying point of view. Different approaches have been used to implement these functions. Most commonly applied methods are modeled and simulated in this research work. A comparative study of these methods is presented based on the characteristics and requirements of mentioned functions. Using the simulation results, suitability of different methods applied to these computational functions has been investigated in this paper. Furthermore, several suggestions are given to choose appropriate method for each of the computational functions. Also few recommendations have been presented to improve some of these computational methods.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.594
Threshold uncertainty score0.490

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 head0.047
GPT teacher head0.313
Teacher spread0.266 · 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 designSimulation or modeling
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
Published2007
Admission routes1
Has abstractyes

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