MétaCan
Menu
Back to cohort
Record W2021836804 · doi:10.1109/compel.2013.6626408

A modular bidirectional DC power flow controller with fault blocking capability for DC networks

2013· article· en· W2021836804 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConvertersController (irrigation)Modular designComputer scienceFault (geology)Blocking (statistics)Power (physics)CapacitorElectronic engineeringVoltageControl theory (sociology)EngineeringElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper introduces a power flow controller that can be deployed to interconnect DC networks of different or similar voltage levels and manage the power flow between them. Its key features include: 1) bidirectional power flow 2) both step-up and step-down operation and 3) bidirectional fault blocking similar to a DC circuit breaker. Moreover, its modular architecture makes it aptly suited for high-voltage DC (HVDC) applications. The kernel of the power flow controller is a new class of single-stage bidirectional DC/DC converters utilizing interleaved strings of cascaded submodules. The converter operation is analyzed and a simplified model is implemented in PSCAD/EMTDC. A control strategy that ensures steady-state power balance of each submodule capacitor via circulating AC currents is introduced. Simulation results validate the converter's principle of operation and the proposed control strategy.

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 score0.785
Threshold uncertainty score0.490

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 head0.184
Teacher spread0.179 · 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

Quick stats

Citations55
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicHVDC Systems and Fault ProtectionFrench-language works237,207