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Record W2019672097 · doi:10.1109/pesgm.2012.6345677

Modeling and control of a full-bridge modular multilevel STATCOM

2012· article· en· W2019672097 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
TopicHVDC Systems and Fault Protection
Canadian institutionsOpal-Rt Technologies (Canada)
Fundersnot available
KeywordsModular designScheme (mathematics)Computer scienceBridge (graph theory)Controller (irrigation)H bridgeCapacitorReal-time simulationVoltageFault (geology)Control engineeringControl theory (sociology)Control (management)EngineeringEmbedded systemPulse-width modulationElectrical engineering

Abstract

fetched live from OpenAlex

Due to its unique topology, the Modular Multilevel STATCOM has many advantages but requires a sophisticated controller and puts higher requirements on simulation tools. To simulate the STATCOM in real-time is preferable because it enables hardware-in-the-loop test of the system in various scenarios including extreme fault conditions, which cannot be tested on a real STATCOM. This paper presents a model of full-bridge sub-module which enables fast offline and real-time simulation of the STATCOM. A control scheme with a new submodule capacitor voltage balancing method is also proposed in this paper. The model and the controller are investigated for different operating conditions. Implemented in a real-time simulator, the model can be simulated in real time at a time step of 20 μs, 131 times faster than its reference model. As demonstrated by the results, the proposed control scheme is effective and robust.

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 score0.560
Threshold uncertainty score0.227

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 head0.018
GPT teacher head0.222
Teacher spread0.204 · 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

Citations15
Published2012
Admission routes1
Has abstractyes

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