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Record W2534509317

Adaptive FACTS controller based on Kalman filter estimator

2009· article· en· W2534509317 on OpenAlex
A. Albakkar, A. Barnawi, O.P. Malik

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

VenueInternational Conference on Electric Power and Energy Conversion Systems · 2009
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsControl theory (sociology)Kalman filterController (irrigation)Electric power systemEstimatorIdentifierComputer scienceAdaptive controlControl engineeringAdaptive estimatorExtended Kalman filterEngineeringPower (physics)Mathematics
DOInot available

Abstract

fetched live from OpenAlex

An indirect adaptive controller for a Static Synchronous Compensator (STATCOM) is designed to damp oscillations and enhance the stability of power systems. A combined on-line identifier and a Pole-Shift (PS) feedback controller, as an adaptive power system stabilizer, is applied to a STATCOM device connected at the middle bus of a single machine infinite bus system. A Kalman Filter as a parameters estimator is used for on-line model identification to track on-line the changes of the plant parameters and update the controller. Simulation studies demonstrate the effectiveness of the proposed indirect adaptive controller in damping the oscillations and enhancing the stability of the power system in comparison to the conventional controller.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.841

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)0.0000.000

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 head0.015
GPT teacher head0.222
Teacher spread0.207 · 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