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Record W2760482887 · doi:10.1049/iet-gtd.2017.0288

Dynamic performance improvement of New York state power grid with multi‐functional multi‐band power system stabiliser‐based wide‐area control

2017· article· en· W2760482887 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

VenueIET Generation Transmission & Distribution · 2017
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsHydro-Québec
FundersNew York State Energy Research and Development Authority
KeywordsElectric power systemInterconnectionControl theory (sociology)Low-frequency oscillationStabiliserDynamic demandComputer scienceTransient (computer programming)Stability (learning theory)GridPower (physics)Automatic frequency controlPower controlReduction (mathematics)EngineeringControl (management)TelecommunicationsMaterials scienceMathematics

Abstract

fetched live from OpenAlex

This study demonstrates the application of a wide‐area control scheme based on multi‐functional multi‐band power system stabilisers (MF‐MBPSS) in New York State grid for the purpose of system stability improvement. The aspects of oscillation damping, frequency and voltage closed‐loop control are considered. The study describes useful techniques for placing and tuning of MF‐MBPSSs based on simulation models and suitable techniques for very large power grids. The application of these concepts is demonstrated on a transient stability model of Eastern Interconnection. Results show a reduction of system frequency nadir during generation outages, significant improvement in damping of post‐disturbance swings and capabilities to contribute to long‐term voltage stability using only a modest amount of dynamic reactive power resources.

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 categoriesMeta-epidemiology (narrow)
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 score0.764
Threshold uncertainty score1.000

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 head0.017
GPT teacher head0.209
Teacher spread0.192 · 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