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Record W2153404908 · doi:10.1109/pess.1999.784329

Hydro-Quebec experience with PSS tuning

2003· article· en· W2153404908 on OpenAlexaffabout
L. Gérin-Lajoie, D. Lefebvre, M. Racine, L. Soulieres, Innocent Kamwa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsCompensation (psychology)InverterElectric power transmissionRectifier (neural networks)Task (project management)Transmission (telecommunications)Task forceTransmission systemVoltageEnvironmental scienceTransmission lineComputer scienceEngineeringElectrical engineeringControl theory (sociology)Control engineeringSystems engineeringControl (management)

Abstract

fetched live from OpenAlex

Hydro-Quebec has added several facilities on its transmission system, including a sixth 735 kV 950 km AC line from the James Bay region, a HVDC link of 1050 km at 450 kV with 3 rectifier-inverter substations between Radisson-Nicolet-Sandy-Ponds, 11200 MVArs of series-compensation and 4680 MW of new generation. These additions modified the overall system behavior significantly. Therefore, a task force was initiated to assess the adequacy and revise on a large scale basis the AVR and PSS settings. This paper first presents the tuning and coordination approach used by the task force. Then the benefits achieved are illustrated with the new settings installed on all 26 stabilizers present in the system. From this number, 21 will be modified during scheduled maintenance over the next few years. TransEnergie expects a significant damping improvement of the major oscillatory modes, with a corresponding /spl sime/400 MW increase of its transmission capability on several 735 kV corridors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.107
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.195
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations14
Published2003
Admission routes2
Has abstractyes

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