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Record W1517699605 · doi:10.1109/psce.2004.1397498

A new fuzzy logic power system stabilizer performances

2005· article· en· W1517699605 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 institutionsHydro-Québec
Fundersnot available
KeywordsFuzzy logicElectric power systemControl theory (sociology)Stabilizer (aeronautics)SIGNAL (programming language)Generator (circuit theory)Computer sciencePID controllerPower (physics)Range (aeronautics)Control engineeringEngineeringControl (management)Physics

Abstract

fetched live from OpenAlex

This paper describes the performances of a new power system stabilizer, the fuzzy logic PSS (FLPSS). It is basically a PID (proportional-integral-derivative) type FLPSS with adjustable gains added outside in order to keep a simple structure. The FLPSS uses the generator speed deviation as primary input from which the accelerating power is derived as a secondary input. In order to validate the FLPSS, it has been compared with two reference stabilizers, the IEEE PSS4B and IEEE PSS2B from the IEEE Std 421.5. Conclusions are supported by a range of small and large signal analyses, performed on a four machine two areas test system (with two configurations).

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 categoriesInsufficient payload (model declined to judge)
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 score0.965
Threshold uncertainty score0.999

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)0.0020.001

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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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

Citations19
Published2005
Admission routes1
Has abstractyes

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