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Record W2142441305 · doi:10.1109/pesw.2000.847297

Study on the operation performance of STATCOM under unbalanced and distorted system voltage

2002· article· en· W2142441305 on OpenAlexaff
Dong Shen, Wenhua Liu, Zhonghong Wang

Bibliographic record

Venue2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077) · 2002
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHarmonicsVoltageControl theory (sociology)Electric power systemComputer scienceElectronic engineeringStatic VAR compensatorAC powerHarmonic analysisEngineeringPower (physics)Electrical engineeringPhysicsControl (management)

Abstract

fetched live from OpenAlex

The operational performance of static synchronous compensators (STATCOMs) under unbalanced and distorted system voltage is a great concern of designers and operation engineers. Based on a novel per-unit STATCOM mathematical model, this paper makes a theoretical analysis of STATCOM performance under distorted system voltage. Algebraic expressions as well as the 3-D curves are given to reveal the relationship between STATCOM harmonics and the main circuit parameters. The theoretical analysis was verified by digital simulation results of PSCAD/EMTDC and tests on a 10 kVAr prototype experimental device. The good agreement between the analytical results and the experimental results show that the approach proposed in this paper can be used to select the passive elements and assess the operation performance of STATCOM under unbalanced or distorted system voltage.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.191
Teacher spread0.176 · 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

Citations15
Published2002
Admission routes1
Has abstractyes

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Same venue2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077)Same topicPower System Optimization and StabilityFrench-language works237,207