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Record W2107875893 · doi:10.1109/psce.2006.296220

Transient Security Assessment in Real-time at Southern Company

2006· article· en· W2107875893 on OpenAlexaff
James Viikinsalo, A. D. Martin, K. Morison, Lei Wang, Frederic Howell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsPowertech Labs (Canada)
Fundersnot available
KeywordsTransient (computer programming)Process (computing)EstimatorComputer scienceState (computer science)SoftwareSelection (genetic algorithm)Work (physics)EngineeringOperations researchReal-time computingOperating systemArtificial intelligence

Abstract

fetched live from OpenAlex

Southern Company Services (USA) has successfully implemented a continual transient security assessment (TSA) process utilizing Powertech's TSAT software at their system control center. Southern's EMS provides an updated powerflow case from the real-time state estimator to the TSAT application through Powertech's DSA Manager on an hourly (24times7) basis. One unique aspect of the enhanced state estimator model is a highly reduced external system model, which provides a virtually identical dynamic response as the much larger original from which it was derived. Southern has already benefited from this on-line TSA system during the post-Katrina system restoration. Further work is ongoing to enhance the selection of contingencies evaluated, and to integrate summary results of the stability studies into Southern's EMS alarms processing subsystem

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.006
GPT teacher head0.216
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations20
Published2006
Admission routes1
Has abstractyes

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