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Record W2135267371 · doi:10.1109/tpwrd.2003.813610

P -γ characteristics for the unified power flow controller-analysis inclusive of equipment ratings and line limits

2003· article· en· W2135267371 on OpenAlexaff
J. Bebic, Peter W. Lehn, Mohammad Reza Iravani

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2003
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUnified power flow controllerOperating pointEngineeringElectric power transmissionTransmission lineElectric power systemPower flowLimit (mathematics)VoltageControl theory (sociology)Transmission systemShunt (medical)Electrical engineeringElectronic engineeringPower (physics)Transmission (telecommunications)Computer scienceControl (management)PhysicsMathematics

Abstract

fetched live from OpenAlex

The paper presents a direct and systematic method for determining the entire operating range of a UPFC in the presence of equipment and system operating limits. The method is inclusive of all limits: series converter voltage and current limits, shunt converter current limit, and voltage limits at the equipment terminals. The formulation is general and permits calculation of P-/spl delta/ curves for a UPFC installed at any point along the transmission line. Equipment and system operating limits are shown to significantly impact the P-/spl delta/ curves of the UPFC. The methodology presented in the paper provides system planners a means to realistically quantify potential benefits of a UPFC installation for a transmission system.

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)0.001
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.002

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 head0.011
GPT teacher head0.222
Teacher spread0.211 · 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

Citations23
Published2003
Admission routes1
Has abstractyes

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