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Record W1536470396 · doi:10.1109/ccece.2015.7129202

Transient stability optimization & analysis for transmission systems & generators to prevent cascade failure by coordinating contingency planning & load-shedding in power transmission grid

2015· article· en· W1536470396 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHigh-Voltage Power Transmission Systems
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBlackoutElectric power systemTransmission (telecommunications)Power transmissionGridCascadePower (physics)RelayElectric power transmissionControl theory (sociology)Computer scienceTransmission systemEngineeringElectrical engineeringMathematicsPhysics

Abstract

fetched live from OpenAlex

The optimization of transient stability of grid transmission system is the strongest and the weakest point of power transmission grid. Considering the protection of transmission system, relay operation adjustment is discussed for the emergency situation of cascade failure, island operation of power generating unit and load shedding of connected load with independently operating power generating units. Cascade condition of power transmission grid and auxiliary power supply for the startup of tripped generators by independently operating generators and non-conventional power generators by organizing favorable transmission grid configuration and economic and social impact of blackout condition is discussed.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.279
Teacher spread0.247 · 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

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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