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Record W2143815672 · doi:10.1109/pess.2001.970144

Stability modelling of storage devices in FACTS applications

2001· article· en· W2143815672 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
TopicFrequency Control in Power Systems
Canadian institutionsPowertech Labs (Canada)
Fundersnot available
KeywordsEnergy storageSuperconducting magnetic energy storageControllabilityConvertersComputer scienceElectric power systemVoltageComputer data storageContext (archaeology)Transient (computer programming)CapacitorControl theory (sociology)Electrical engineeringElectronic engineeringPower (physics)EngineeringControl (management)Superconducting magnetElectromagnetic coilComputer hardware

Abstract

fetched live from OpenAlex

Two types of energy storage devices, namely, superconducting magnetic energy storage (SMES) and battery energy storage system (BESS) are often considered in flexible AC transmission system (FACTS) applications. FACTS controllers are capable of improving voltage, small signal, and transient stability margins of the system, which may be further enhanced by the additional controllability due to an energy storage device. Modelling and data requirements of both SMES and BESS for power system stability simulations are discussed within the context of FACTS controllers utilizing both shunt-connected and series-connected voltage-sourced converters (VSC). Sample simulation results are presented.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.734
Threshold uncertainty score0.270

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 head0.034
GPT teacher head0.221
Teacher spread0.187 · 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

Citations26
Published2001
Admission routes1
Has abstractyes

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