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Record W2376518237

A preventive control model for static voltage stability considering the power constraints of weak branches

2012· article· en· W2376518237 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

VenueJournal of Chongqing University. English Edition · 2012
Typearticle
Languageen
FieldEngineering
TopicHigh-Voltage Power Transmission Systems
Canadian institutionsBC Hydro (Canada)
Fundersnot available
KeywordsControl theory (sociology)Maximum power transfer theoremAC powerCorrectnessElectric power systemPower (physics)VoltageStability (learning theory)Power flowEngineeringComputer scienceControl (management)PhysicsElectrical engineeringAlgorithm
DOInot available

Abstract

fetched live from OpenAlex

The voltage instability of power system often occurs when the active power on one or more weak branches exceeds its transfer capability.A preventive control model for static voltage stability is proposed using the active power transfer capability of weak branches as static voltage stability constraints.A local line-based voltage stability index is used to determine the critical contingencies,weak branches and transfer capability of each weak branch.A static security analysis method,which is based on DC power flow equations,is used to establish the non-linear active power flow expressions on weak branches following each critical contingency.The active power constraints on weak branches can be obtained from the active power flow expressions and transfer capabilities of weak branches.A quadratic optimal model for preventive control including the proposed active power constraints on weak branches is presented.The simulation results for IEEEE14-bus system and IEEE118-bus system demonstrate the correctness and effectiveness of the proposed preventive control model.

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)0.001
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: none
Teacher disagreement score0.751
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.013
GPT teacher head0.202
Teacher spread0.189 · 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