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Record W2093546616 · doi:10.1109/sysose.2007.4304226

Validation of a STATCOM Transient Stability Model through Small-Disturbance Stability Studies

2007· article· en· W2093546616 on OpenAlexaff
Hassan Ghasemi, Claudio A. Cañizares

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of WaterlooIndependent Electricity System Operator
Fundersnot available
KeywordsControl theory (sociology)Transient (computer programming)Electric power systemStability (learning theory)Time domainComputer scienceControl engineeringPower (physics)Control systemMode (computer interface)Electronic stability controlEngineeringControl (management)Automotive engineering

Abstract

fetched live from OpenAlex

Synchronous STATic COMpensator (STATCOM) controllers are being more prevalently used to address some voltage and angle stability and control problems, especially in distribution systems with the advent of microgrids. Thus, this paper discusses the validity of a typical transient stability (TS) model of a STATCOM widely used in small-disturbance stability studies of large, interconnected power grids as well as microgrids. EMTDC/PSCAD-based time domain simulations for both TS and detailed models, with a standard control and a supplementary control, are used as the basis for comparison and validation. A system identification technique, i.e. the Prony method, is applied to the time domain signals to extract relevant electromechanical mode information, illustrating that, under certain conditions, typical STATCOM TS models can yield too optimistic results, which may lead to errors in power system planning and operation.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.075
GPT teacher head0.281
Teacher spread0.206 · 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 designSimulation or modeling
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

Citations6
Published2007
Admission routes1
Has abstractyes

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