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Record W1618774412 · doi:10.1109/pesgm.2015.7286305

A synchrophasor system emulator - software approach and real-time simulations

2015· article· en· W1618774412 on OpenAlexaff
Gang Zheng, Frederic Howell, Lei Wang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsPowertech Labs (Canada)
Fundersnot available
KeywordsPhasorPhasor measurement unitElectric power systemUnits of measurementSoftwareNetwork topologyComputer scienceReal-time computingPower system simulationSystem monitoringPower (physics)Embedded systemEngineeringControl engineering

Abstract

fetched live from OpenAlex

Wide Area Measurement Systems (WAMS) using phasor measurement unit (PMU) demonstrate the great potential in monitoring and analyzing power systems. Synchrophasor applications, such as system monitoring, wide-area controls, linear state estimation, and advanced training simulator, are developed to utilize valuable information from synchronized phasor data. However, there are challenges for both power utilities and application developers in designing, developing, testing and evaluating these applications. One of the main issues is the lack of a real-time simulation platform to emulate the PMU data that may be collected from WAMS. To help address these challenges, this paper proposes a software-based synchrophasor system emulator, ePMU. ePMU emulates synchrophasors by streaming real-time simulation results in standard PMU data format for large power system models. In addition, ePMU emulates actual power system controls by accepting commands from external applications to change network parameters and topologies during real-time simulations. This paper presents this real-time synchrophasors emulator and illustrates its values and benefits.

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: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.648

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 head0.012
GPT teacher head0.207
Teacher spread0.195 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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