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Record W2774350425 · doi:10.1109/iecon.2017.8216225

Multi-rate real-time simulation of modular multilevel converter for HVDC grids application

2017· article· en· W2774350425 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

VenueIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society · 2017
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsMcGill UniversityOpal-Rt Technologies (Canada)
FundersState Grid Corporation of China
KeywordsModular designComputer scienceOperating system

Abstract

fetched live from OpenAlex

Multi-rate (MR) simulation is necessary for a system which contains both large and small time constraints. In the traditional MR real-time simulation of MMC, only the MMC valves are implemented on FPGA with a small time-step, while the rest parts are implemented on central processing units (CPU) with a large time-step. This paper presents a fully FPGA based MR real-time simulation of two MMC terminals. The FPGAs are decoupled by the stubline, and are parallelly simulated. Each FPGA is assigned with one MMC terminal, and its time-step can be flexibly chosen. The decoupled FPGAs can run asynchronously with their own model, which only communicate via the stubline without the synchro between them. Thus, the real-time simulation of a multi-terminal MMC-HVDC grid can be easily achieved while the accuracy of the simulation is also guaranteed. The real-time simulation results of the proposed methodology are provided.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0010.000
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 head0.063
GPT teacher head0.289
Teacher spread0.226 · 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