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Record W2582091145 · doi:10.1109/eecon.2016.7830928

Development of a test platform for synchrophasor applications with real-time digital simulator

2016· article· en· W2582091145 on OpenAlexaff
Dinesh Rangana Gurusinghe, Dean Ouellette, Athula Rajapakse

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of ManitobaRTDS Technologies (Canada)
Fundersnot available
KeywordsPhasor measurement unitReal Time Digital SimulatorElectric power systemPhasorImplementationEmbedded systemComputer scienceReal-time computingEngineeringSimulationPower (physics)

Abstract

fetched live from OpenAlex

The rapid advance of synchrophasor technology and the growth of phasor measurement unit (PMU) installations in the recent years have substantially increased the feasibility of deploying practical synchrophasor applications. These novel applications need to be thoroughly evaluated before their actual implementations on real power systems. The most feasible solution is to use real-time power system simulators. Therefore, this paper presents a real-time digital simulator (RTDS) based test platform to implement and to validate various synchrophasor applications range from simple monitoring algorithms to advanced response based wide area monitoring, protection and control systems. The proposed test platform can also be used to validate PMU performances as well as to assess cyber-security issues of synchrophasor networks. The effectiveness of the test platform is demonstrated with a real-time monitoring application.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score0.187

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 head0.008
GPT teacher head0.205
Teacher spread0.197 · 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
GenreMethods

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

Citations3
Published2016
Admission routes1
Has abstractyes

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