MétaCan
Menu
Back to cohort
Record W2281323208 · doi:10.1109/iecon.2015.7392802

Real-time performance of FPGA-based MMC valves for HVDC systems

2015· article· en· W2281323208 on OpenAlexaff
R.P. Wierckx, Sumek Elimban

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsRTDS Technologies (Canada)
Fundersnot available
KeywordsField-programmable gate arrayModular designComputer scienceHardware-in-the-loop simulationEmbedded systemReal-time simulationGridPoint (geometry)Electronic engineeringComputer hardwareEngineeringSimulation

Abstract

fetched live from OpenAlex

Simulation tools are necessary to research and develop modular multi-level converter (MMC) based HVDC systems for the future power grid. Real-time simulators offer the ability to connect to real physical equipment in a hardware-in-loop (HIL) scheme to test and design controllers, protection systems and encompass the complete operation and response of an HVDC system. The complexity of an MMC valve poses challenges for real-time modelling. For the RTDS Simulator, a surrogate network topology is used to model MMC valves to reduce the computational requirements of the valve model but still maintain the accuracy of a real valve. To model up to 512 submodules (SMs) per valve at a time-step as small as 2.5 μsec, Field Programmable Gated Array (FPGA) are used to compute the MMC valve model and is interfaced to the main RTDS hardware. To demonstrate the performance and accuracy of the FPGA-based MMC valve model, comparison results are provided between the RTDS and PSCAD simulation of a point-to-point link for AC and DC faults.

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 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 score0.163
Threshold uncertainty score0.299

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 head0.019
GPT teacher head0.223
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, 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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicHVDC Systems and Fault ProtectionFrench-language works237,207