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Record W2343754817 · doi:10.1109/tpwrd.2015.2508381

CPU/FPGA-Based Real-Time Simulation of a Two-Terminal MMC-HVDC System

2015· article· en· W2343754817 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 Transactions on Power Delivery · 2015
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsPolytechnique MontréalOpal-Rt Technologies (Canada)
Fundersnot available
KeywordsTerminal (telecommunication)Field-programmable gate arrayComputer scienceTransient analysisElectric power systemPower system simulationEmbedded systemElectronic engineeringElectrical engineeringEngineeringPower (physics)PhysicsTransient responseTelecommunications

Abstract

fetched live from OpenAlex

This paper presents a methodology for the central-processing unit/field-programmable gate-array (FPGA)-based real-time simulation of a two-terminal MMC-HVDC of up to 501 levels using a detailed equivalent model. The proposed modeling approach is validated using case studies of 101-level and 501-level multilevel modular converter setups. FPGA-based models are designed using low-latency custom-made floating-point operators. The FPGA model is entirely reconfigurable in terms of the number of submodules per arm, as well as circuit parameters on an individual submodule basis. Real-time simulation performance is demonstrated in single-rate and multirate simulation environments and under various operating conditions. Limitations to the detailed equivalent model are identified and discussed.

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 score0.656
Threshold uncertainty score0.873

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 head0.017
GPT teacher head0.237
Teacher spread0.221 · 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