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Record W4396243083 · doi:10.1109/jestpe.2024.3394516

A Series-Type Hybrid Circuit Breaker Based on Flying Capacitor Multilevel Injector With Balanced Switching Operation and Current Limiting Capability

2024· article· en· W4396243083 on OpenAlexaff
F.L. Luo, Chao Zhang, Xufeng Yuan, Huajun Zheng, Zeng Liu, Yutao Xu, Jun Wang, Z. John Shen

Bibliographic record

VenueIEEE Journal of Emerging and Selected Topics in Power Electronics · 2024
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsSimon Fraser University
FundersNational Natural Science Foundation of China
KeywordsCircuit breakerCapacitorLimitingElectrical engineeringCurrent limitingInjectorSeries (stratigraphy)Current (fluid)Electronic engineeringEngineeringMaterials scienceComputer scienceVoltageMechanical engineering

Abstract

fetched live from OpenAlex

In this article, a series hybrid circuit breaker based on a flying capacitor multilevel injector (FCM-SHCB) is proposed for MVDC and LVDC, which utilizes the multilevel characteristic of FCM to realize the fault-current-limitation modulation and extend operation windows for mechanical switch (MS). Meanwhile, by fully exploring the redundant states of the FCM structure, the proposed FCM-SHCB can avoid the high-frequency operation of one single device in conventional S-HCBs, realizing balanced switching operation of the power semiconductor devices and reducing switching frequency without sacrificing the injection performance. The operation principle and parameters design consideration are detailed. A proof-of-concept FCM-SHCB prototype experimentally demonstrates the proposed solution can maintain the high-speed fault-current breaking ability (150 V/15 A/$6~\mu $s) while obtaining balanced switching operation (half-reduced switching frequency) and current limiting capability.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.237
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Journal of Emerging and Selected Topics in Power ElectronicsSame topicHVDC Systems and Fault ProtectionFrench-language works237,207