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Record W2047804179 · doi:10.1109/pesmg.2013.6672243

VSC-OPF based on line voltage indices for power system losses minimization and voltage stability improvement

2013· article· en· W2047804179 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
TopicPower System Optimization and Stability
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsElectric power systemControl theory (sociology)VoltageStability (learning theory)Voltage optimisationComputer sciencePower (physics)MinificationLine (geometry)AC powerEngineeringMathematicsControl (management)Electrical engineering

Abstract

fetched live from OpenAlex

Power system optimization while improving system security and performance has become a major challenge in power systems planning and operation. As modern systems are being operated under heavily stressed conditions with reduced stability margins, incorporation of voltage stability criteria in the operation of power systems has become necessary. This paper presents a novel voltage stability constrained optimal power flow approach based on the line voltage stability indices. The objective of the new VSC-OPF is to add the voltage collapse proximity indicator (VCPI) into the OPF constraints to simultaneously minimize power losses and improve voltage stability. The proposed approach has been evaluated and compared with conventional OPF on the IEEE 30-bus test system under different cases. The simulation results are promising and demonstrate the effectiveness of the proposed VSC-OPF using the line voltage stability index.

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)0.000
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: none
Teacher disagreement score0.826
Threshold uncertainty score0.767

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)0.0010.000

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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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

Citations10
Published2013
Admission routes1
Has abstractyes

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