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Record W2321773589 · doi:10.1109/jestpe.2014.2337512

MMC-HVDC Simulation and Testing Based on Real-Time Digital Simulator and Physical Control System

2014· article· en· W2321773589 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

VenueIEEE Journal of Emerging and Selected Topics in Power Electronics · 2014
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsRTDS Technologies (Canada)
FundersNational Natural Science Foundation of China
KeywordsReal Time Digital SimulatorComputer scienceSimulationControl systemControl (management)Real-time simulationEngineeringElectrical engineeringElectric power systemPower (physics)Physics

Abstract

fetched live from OpenAlex

Real-time simulation of modular multilevel converter (MMC)-based HVDC is one of the most important and difficult technologies in the area of utility-scale power electronics research. This paper describes an efficient modeling approach for real-time simulation of MMC-HVDC. Taking advantages of the full parallel architecture of the field-programmable gate array (FPGA), more than 1500 submodules are able to be simulated in a single FPGA. The design details of the physical MMC control system are also presented. The presented MMC-HVDC real-time simulator and physical control system are successfully performed in the Nan-ao Island MMC-HVDC project, which is the world’s first three-terminal MMC-HVDC system for research on operation and fault characteristics. The results validate the accuracy of proposed approach and real-time MMC simulator.

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: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.562

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 head0.005
GPT teacher head0.221
Teacher spread0.216 · 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