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Record W2132088846 · doi:10.1109/isie.2008.4677006

Rotary power flow controller performance in power systems part II - RPFC performances in a transmission corridor

2008· article· en· W2132088846 on OpenAlexafffund
Tao Peng, Amadou Bâ, S. Lefebvre

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsHydro-Québec
FundersPolytechnique Montréal
KeywordsControl theory (sociology)MATLABQuadrature boosterElectric power transmissionElectric power systemController (irrigation)Computer sciencePower (physics)EngineeringVoltageElectrical engineeringControl (management)Physics

Abstract

fetched live from OpenAlex

This part II of the work proposes the performance study of the RPFC operating in a two-line transmission corridor. The part I has presented the RPFC model and its implementation in SPS/Matlab. The present paper presents the simulation results of the RPFC operating in the corridor during the post-contingency period, when one of the two lines is out of service. From the RPFC model and the RPFC control system, derived in part I, this paper first determines the model of the electrical corridor equipped with the RPFC, and then implements the entire model including the RPFC control system, in the SPS/Matlab. The obtained results provide the behavior of the RPFC, as well as that of the corridor during the post-contingency period. The work analyzes, among other parameters, the influence of the RPST number of poles on the RPFC performances. Finally, the utilization of the RPFC, associated with the shunt capacitive compensation, allows restoring the post-contingency power flow conditions to be equal to those of the pre-contingency period.

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 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: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.789

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 head0.009
GPT teacher head0.177
Teacher spread0.168 · 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 teacher head, 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

Citations2
Published2008
Admission routes2
Has abstractyes

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