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Record W1967801937 · doi:10.1109/ccece.2014.6901061

Practical aspects of testing Phasor Data Concentrators for wide area monitoring systems

2014· article· en· W1967801937 on OpenAlexaff
Govind Renal, Mital Kanabar, V. Muthukrishnan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsGeneral Electric (Canada)
Fundersnot available
KeywordsPhasorIEC 61850Key (lock)Synchronization (alternating current)ConcentratorComputer scienceBlock (permutation group theory)Reliability engineeringReal-time computingEvent (particle physics)Embedded systemSystems engineeringEngineeringAutomationElectric power systemTelecommunicationsOperating system

Abstract

fetched live from OpenAlex

K Phasor Data Concentrator or Phasor Data Concentrator (PDC) is the key building block of the Wide Area Measurement System (WAMS) architecture. This paper presents practical aspects of functional testing of a PDC based on industrial experience on product design and testing. The specific contributions presented in this paper are listed below: i) test setup to ensure that all requirements that guided the PDC's design and development are met; ii) key aspects to examine during validation of different PDC functions (i.e. acceptable data rates and formats, time alignment, wait time etc.); iii) validation of the synchrophasor communication protocols implemented on PDC (i.e. IEEE 37.118 and IEC 61850-90-5); iv) time synchronization (with UTC - Coordinated Universal Time or local time zone); v) Device diagnosis functions (i.e. event recorder/SOE - Sequence Of Events, remote device status etc.); vi) performance and stress testing; and vii) Negative testing concepts.

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)0.002
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: Methods · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.110
GPT teacher head0.311
Teacher spread0.202 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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