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Power System Stabilizer for Stability Enhancement of Wind Generators Connected to Power System

2021· article· en· W4200073981 on OpenAlexaff
Ahmad Adel Alsakati, Chockalingam Aravind Vaithilingam, Brish Ramlochun, Abumuslim KHUJAEV

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsImpact
Fundersnot available
KeywordsTransient (computer programming)Control theory (sociology)Electric power systemSettling timeInduction generatorWind powerStabilizer (aeronautics)Generator (circuit theory)Power (physics)Reliability (semiconductor)Computer scienceEngineeringControl engineeringElectrical engineeringControl (management)PhysicsStep response

Abstract

fetched live from OpenAlex

Wind energy has become a popular energy source to fulfill the load demand and generate green electricity. Nevertheless, the rapid expansion of wind energy technologies and their integration into grids have technically affected the power quality, power system reliability and stability. Power System Stabilizer (PSS) is an efficient device utilized to control the Synchronous Generator (SG) during the disturbance and improve the stability. In this research, the effect of the Squirrel Cage Induction Generator (SGIG) and Doubly Fed Induction Generator (DFIG) on the transient stability of the power system was investigated. Furthermore, the transient stability of the power system was enhanced using PSS1A, which is a single-input PSS. The results showed that the PSS1A had effectively enhanced the stability of the studied system where the settling time of the oscillations was reduced.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.215
Teacher spread0.203 · 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.

Study designBench or experimental
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

Citations4
Published2021
Admission routes1
Has abstractyes

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