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Record W2969402435 · doi:10.1109/pedg.2019.8807625

A Real-time Simulator using a Cluster of FPGAs for Testing Distributed Generations

2019· article· en· W2969402435 on OpenAlexaff
Weihua Wang, Bingjie Wang, Bowen Liang, Fei Gao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsOpal-Rt Technologies (Canada)
Fundersnot available
KeywordsField-programmable gate arrayComputer scienceLatency (audio)MATLABEmbedded systemCluster (spacecraft)Low latency (capital markets)Real-time simulationReal-time computingComputer hardwareSimulationComputer networkOperating system

Abstract

fetched live from OpenAlex

This paper presents the design and implementation of a real-time simulator using a cluster of FPGAs that are interconnected by the communication protocol with ultra-low latency. While the time step below one microsecond achieved by the solver running on the FPGA guarantees to accurately capture the dynamics of switching power electronics, the low latency of the inter-FPGA communication reduces the restriction on the minimum travel time delay of the line, and thus the length of the line to decompose the simulated circuits into multiple subsystems that are parallelly processed on the FPGA cluster. Proof-of-concept is provided by simulating ten neighboring photovoltaic (PV) generation units in real-time on a cluster of three FPGAs. The results obtained from the proposed real-time simulator are compared and validated against the results given by the MATLAB/SimPowerSystem (SPS).

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 score0.183
Threshold uncertainty score0.409

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 head0.241
Teacher spread0.223 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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